Industrial cluster is an aggregation of the related enterprises and institutions in certain field and in certain place. There are mainly three patterns for industrial clusters： market-oriented cluster, foreign fund o...Industrial cluster is an aggregation of the related enterprises and institutions in certain field and in certain place. There are mainly three patterns for industrial clusters： market-oriented cluster, foreign fund oriented cluster and endogenous brand oriented cluster. Many economists have established their own theories about the patterns industrial cluster, but there are few dealing with one big enterprises and its cluster pattern. This paper, taking Haier household electrical appliance as an example, is trying to study one model of Chinese industrial cluster and analyze its characteristics with their effects on economy, as.well as the advantages together with the related suggestions from the authors.展开更多
The discovery of gradual moving object clusters pattern from trajectory streams allows characterizing movement behavior in real time environment,which leverages new applications and services.Since the trajectory strea...The discovery of gradual moving object clusters pattern from trajectory streams allows characterizing movement behavior in real time environment,which leverages new applications and services.Since the trajectory streams is rapidly evolving,continuously created and cannot be stored indefinitely in memory,the existing approaches designed on static trajectory datasets are not suitable for discovering gradual moving object clusters pattern from trajectory streams.This paper proposes a novel algorithm of gradual moving object clusters pattern discovery from trajectory streams using sliding window models.By processing the trajectory data in current window,the mining algorithm can capture the trend and evolution of moving object clusters pattern.Firstly,the density peaks clustering algorithm is exploited to identify clusters of different snapshots.The stable relationship between relatively few moving objects is used to improve the clustering efficiency.Then,by intersecting clusters from different snapshots,the gradual moving object clusters pattern is updated.The relationship of clusters between adjacent snapshots and the gradual property are utilized to accelerate updating process.Finally,experiment results on two real datasets demonstrate that our algorithm is effective and efficient.展开更多
Plant photosynthetic rate is affected by stomatal status and internal CO2 carboxylation. Understanding which process determines photosynthetic rate is essential for developing strategies for breeding crops with high p...Plant photosynthetic rate is affected by stomatal status and internal CO2 carboxylation. Understanding which process determines photosynthetic rate is essential for developing strategies for breeding crops with high photosynthetic efficiency. In this study, we identified different physiological patterns of photosynthetic rate in two different rice populations. Photosynthetic gas exchange parameters were measured during the flowering stage in two rice populations. Clustering and correlation analyses were performed on the resulting data. Five or six groups were defined by K-means clustering according to differences in net photosynthetic rates(Pn). According to differences in stomatal conductance(gs) and carboxylation efficiency(CE), each group was clustered into three subgroups characterized by physiological patterns stomatal pattern, carboxylation pattern, and intermediate pattern. Pn was significantly correlated with gs(r = 0.810) and CE(r = 0.531). Pn was also significantly correlated with gs and CE in the three physiological patterns. The correlation coefficients were highest in the stomatal pattern(0.905 and 0.957) and lowest in the carboxylation pattern(0.825 and 0.859). Higher correlation coefficients between Pn and gs or CE in the three physiological patterns indicate that clustering is very important for understanding factors limiting rice photosynthesis. ? 2013 Production and hosting by Elsevier B.V. on behalf of Crop Science Society of展开更多
Purpose: To present a method for systematically mapping diversity of publication patterns at the author level in the social sciences and humanities in terms of publication type, publication language and co-authorship....Purpose: To present a method for systematically mapping diversity of publication patterns at the author level in the social sciences and humanities in terms of publication type, publication language and co-authorship.Design/methodology/approach: In a follow-up to the hard partitioning clustering by Verleysen and Weeren in 2016, we now propose the complementary use of fuzzy cluster analysis, making use of a membership coefficient to study gradual differences between publication styles among authors within a scholarly discipline. The analysis of the probability density function of the membership coefficient allows to assess the distribution of publication styles within and between disciplines.Findings: As an illustration we analyze 1,828 productive authors affiliated in Flanders, Belgium. Whereas a hard partitioning previously identified two broad publication styles, an international one vs. a domestic one, fuzzy analysis now shows gradual differences among authors. Internal diversity also varies across disciplines and can be explained by researchers’ specialization and dissemination strategies.Research limitations: The dataset used is limited to one country for the years 2000–2011; a cognitive classification of authors may yield a different result from the affiliation-based classification used here.Practical implications: Our method is applicable to other bibliometric and research evaluation contexts, especially for the social sciences and humanities in non-Anglophone countries.Originality/value: The method proposed is a novel application of cluster analysis to the field of bibliometrics. Applied to publication patterns at the author level in the social sciences and humanities, for the first time it systematically documents intra-disciplinary diversity.展开更多
Aim Cluster analysis was conducted on data from 5,169 United States （U.S.） Arizona children, age＇s 5-59-months with the goal of delineating patterns of caries in the primary dentition of pre-school children without...Aim Cluster analysis was conducted on data from 5,169 United States （U.S.） Arizona children, age＇s 5-59-months with the goal of delineating patterns of caries in the primary dentition of pre-school children without a priori pattern definitions. Methodology Cluster analyses were conducted using all data for children ages 0-4 years in aggregate： 1） for all subjects, and 2） for subjects without crowned restored teeth. Each of these two sets of analyses consisted of 8 differently specified cluster analyses as a validation procedure. Results The caries patterns identified from the clustering analysis are： 1） smooth surfaces （other than the maxillary incisor）, 2） maxillary incisor, 3） occlusal surfaces of first molars, and 4） pit and fissure surfaces of second molars. Conclusion The cluster analysis findings were consistent with results produced by multidimensional scaling. These cross-validated patterns may represent resulting disease conditions from different risks or the timing of various risk factor exposures. As such, the patterns may be useful case definitions for caries risk factor investigations in children under 60 months of age.展开更多
Patterned-based time series segmentation (PTSS) is an important task for many time series data mining applications. In this paper, according to the characteristics of PTSS, a generalized model is proposed for PTSS. Fi...Patterned-based time series segmentation (PTSS) is an important task for many time series data mining applications. In this paper, according to the characteristics of PTSS, a generalized model is proposed for PTSS. First, a new inter-pretation for PTSS is given by comparing this problem with the prototype-based clustering (PC). Then, a novel model, called clustering-inverse model (CI-model), is presented. Finally, two algorithms are presented to implement this model. Our experimental results on artificial and real-world time series demonstrate that the proposed algorithms are quite effective.展开更多
目的对基于聚类分析的慢性阻塞性肺疾病患者共病模式相关研究进行范围综述,明确共病模式的种类、特征及其与健康结局的相关性,为今后慢性阻塞性肺疾病患者共病模式研究与自我管理提供参考。方法遵循范围综述的方法,系统检索Cochrane Lib...目的对基于聚类分析的慢性阻塞性肺疾病患者共病模式相关研究进行范围综述,明确共病模式的种类、特征及其与健康结局的相关性,为今后慢性阻塞性肺疾病患者共病模式研究与自我管理提供参考。方法遵循范围综述的方法,系统检索Cochrane Library、PubMed、Web of Science、Embase、CINAHL、中国知网、万方数据库、维普网和中国生物医学文献数据库中关于使用聚类分析方法得出慢性阻塞性肺疾病患者共病模式的研究,检索时限为建库至2025年5月14日。依据纳入、排除标准筛选文献,并提取信息资料。结果共纳入13篇文献,提取出40种共病模式、19个在不同共病模式间存在差异的个体特征及11种与共病模式相关的健康结局(含医疗保健利用和住院费用)。结论慢性阻塞性肺疾病患者存在多种共病模式,不同研究报告的共病模式数量及种类存在差异,未来可构建统一的共病模式命名规范;慢性阻塞性肺疾病患者的个体特征和健康结局在不同共病模式下存在差异,其可为慢性阻塞性肺疾病患者的共病管理提供更为精细、准确的分类依据。展开更多
目的系统整理并归纳总结乳腺癌的中医证候分布及临床组方用药论治规律,为临床应用中医药治疗乳腺癌提供选方用药思路借鉴。方法检索建库至2024年6月30日中国知网(CNKI)、万方医学网(WANFANG MED ONLINE)、维普网(VIP)、中国生物医学服...目的系统整理并归纳总结乳腺癌的中医证候分布及临床组方用药论治规律,为临床应用中医药治疗乳腺癌提供选方用药思路借鉴。方法检索建库至2024年6月30日中国知网(CNKI)、万方医学网(WANFANG MED ONLINE)、维普网(VIP)、中国生物医学服务系统(SinoMed)文献数据库有关中医诊治乳腺癌的文献资料,建立数据库,通过Excel、SPSS Statistics、SPSS Modeler软件对证型、症状、方剂、药物进行频数统计、系统聚类和Apriori关联规则分析。结果共筛选得到文献164篇,中医证型36个,其中气血两虚、肝郁脾虚、肝郁气滞、气阴两虚、肝肾阴虚、瘀毒互结为常见证型;包含方剂257首,其中成方47首,以逍遥散、八珍汤、六君子汤为主;涉及中药281味,高频中药有白术、茯苓、甘草、黄芪、当归、柴胡、白芍、陈皮、白花蛇舌草等,功效以补虚药、清热药、活血化瘀药、理气药为主,主归肝、脾、肾经;45味高频中药系统聚类分析得到4个聚类方;关联规则分析得到20个药物组合。结论乳腺癌患者以气血两虚、肝郁脾虚、肝郁气滞证为主,在遣方用药上以益气健脾、滋阴养血为基本治法,同时辅以行气活血、清热解毒散结等药物辨证论治。展开更多
Activities of tropical cyclones(TCs)over the Bay of Bengal(BoB)often exert appreciable influences on precipitation in China,but how and to what extent these influences operate remain unclear.This study utilizes the In...Activities of tropical cyclones(TCs)over the Bay of Bengal(BoB)often exert appreciable influences on precipitation in China,but how and to what extent these influences operate remain unclear.This study utilizes the International Best Track Archive for Climate Stewardship(IBTrACS)dataset and infrared satellite images from Japan during1996-2021 to analyze the cloud system structure patterns associated with BoB TCs(excluding tropical depressions)and their impact on China rainfall.A fuzzy c-means clustering method was employed to classify TC cloud clusters into three morphological types:Type“6”(T6)and Type“9”(T9),with cloud distributions predominantly located north(south)of the TC center;and type“symmetry”(TSM),with relatively balanced cloud distributions on both sides.The results indicate that T6(41.3%)occurs most frequently in autumn,T9(31.2%)peaks in early summer,and TSM(27.5%)also shows a slight preference for autumn.Distinct circulation features are associated with each type.At 500 hPa over the Qinghai-Xizang Plateau(QXP),T6 is associated with the southern branch trough,T9 with straight westerlies,and TSM with a ridge.At 200 hPa,both centers of T6 and TSM are located at the periphery of the South Asian high(SAH),with enhanced upper-level divergence outflows,resulting in northward extension of cloud clusters under the influence of the westerly jet.In contrast,T9 TCs are embedded within the SAH,where weaker divergence outflows restrict northward cloud development.All three types are characterized by a column-integrated water vapor channel extending from the BoB to southern China,with T9 exhibiting the strongest moisture transport to China.Precipitation analyses reveal that all three types contribute to rainfall in Yunnan Province and the Guangxi Zhuangzu Zizhiqu.Moreover,T6 produces heavier rainfall in southern Xizang Zizhiqu(abbreviated as Xizang hereafter),T9 in Yunnan Province,and TSM in Sichuan Province and Xizang.Remote precipitation induced by TC longdistance moisture transport also exhibits distinct patterns:under T6,high-rainfall areas are widely distributed across southwestern China and parts of southern China;under T9,heavy rainfall is concentrated in southern China;and under TSM,heavy rainfall is mainly confined to Guangdong and Jiangxi provinces.These results provide useful insights for precipitation forecasting in China based on the cloud cluster patterns of the BoB TCs.展开更多
文摘Industrial cluster is an aggregation of the related enterprises and institutions in certain field and in certain place. There are mainly three patterns for industrial clusters： market-oriented cluster, foreign fund oriented cluster and endogenous brand oriented cluster. Many economists have established their own theories about the patterns industrial cluster, but there are few dealing with one big enterprises and its cluster pattern. This paper, taking Haier household electrical appliance as an example, is trying to study one model of Chinese industrial cluster and analyze its characteristics with their effects on economy, as.well as the advantages together with the related suggestions from the authors.
基金This work is supported by the National Natural Science Foundationof China under Grants No. 41471371.
文摘The discovery of gradual moving object clusters pattern from trajectory streams allows characterizing movement behavior in real time environment,which leverages new applications and services.Since the trajectory streams is rapidly evolving,continuously created and cannot be stored indefinitely in memory,the existing approaches designed on static trajectory datasets are not suitable for discovering gradual moving object clusters pattern from trajectory streams.This paper proposes a novel algorithm of gradual moving object clusters pattern discovery from trajectory streams using sliding window models.By processing the trajectory data in current window,the mining algorithm can capture the trend and evolution of moving object clusters pattern.Firstly,the density peaks clustering algorithm is exploited to identify clusters of different snapshots.The stable relationship between relatively few moving objects is used to improve the clustering efficiency.Then,by intersecting clusters from different snapshots,the gradual moving object clusters pattern is updated.The relationship of clusters between adjacent snapshots and the gradual property are utilized to accelerate updating process.Finally,experiment results on two real datasets demonstrate that our algorithm is effective and efficient.
基金funded by the National Basic Research Program of China (2009CB118605)the National Natural Science Fund of China (30370853)
文摘Plant photosynthetic rate is affected by stomatal status and internal CO2 carboxylation. Understanding which process determines photosynthetic rate is essential for developing strategies for breeding crops with high photosynthetic efficiency. In this study, we identified different physiological patterns of photosynthetic rate in two different rice populations. Photosynthetic gas exchange parameters were measured during the flowering stage in two rice populations. Clustering and correlation analyses were performed on the resulting data. Five or six groups were defined by K-means clustering according to differences in net photosynthetic rates(Pn). According to differences in stomatal conductance(gs) and carboxylation efficiency(CE), each group was clustered into three subgroups characterized by physiological patterns stomatal pattern, carboxylation pattern, and intermediate pattern. Pn was significantly correlated with gs(r = 0.810) and CE(r = 0.531). Pn was also significantly correlated with gs and CE in the three physiological patterns. The correlation coefficients were highest in the stomatal pattern(0.905 and 0.957) and lowest in the carboxylation pattern(0.825 and 0.859). Higher correlation coefficients between Pn and gs or CE in the three physiological patterns indicate that clustering is very important for understanding factors limiting rice photosynthesis. ? 2013 Production and hosting by Elsevier B.V. on behalf of Crop Science Society of
文摘Purpose: To present a method for systematically mapping diversity of publication patterns at the author level in the social sciences and humanities in terms of publication type, publication language and co-authorship.Design/methodology/approach: In a follow-up to the hard partitioning clustering by Verleysen and Weeren in 2016, we now propose the complementary use of fuzzy cluster analysis, making use of a membership coefficient to study gradual differences between publication styles among authors within a scholarly discipline. The analysis of the probability density function of the membership coefficient allows to assess the distribution of publication styles within and between disciplines.Findings: As an illustration we analyze 1,828 productive authors affiliated in Flanders, Belgium. Whereas a hard partitioning previously identified two broad publication styles, an international one vs. a domestic one, fuzzy analysis now shows gradual differences among authors. Internal diversity also varies across disciplines and can be explained by researchers’ specialization and dissemination strategies.Research limitations: The dataset used is limited to one country for the years 2000–2011; a cognitive classification of authors may yield a different result from the affiliation-based classification used here.Practical implications: Our method is applicable to other bibliometric and research evaluation contexts, especially for the social sciences and humanities in non-Anglophone countries.Originality/value: The method proposed is a novel application of cluster analysis to the field of bibliometrics. Applied to publication patterns at the author level in the social sciences and humanities, for the first time it systematically documents intra-disciplinary diversity.
基金Support for this work was through NIH NIDCR NRSA #T32-DE07255
文摘Aim Cluster analysis was conducted on data from 5,169 United States （U.S.） Arizona children, age＇s 5-59-months with the goal of delineating patterns of caries in the primary dentition of pre-school children without a priori pattern definitions. Methodology Cluster analyses were conducted using all data for children ages 0-4 years in aggregate： 1） for all subjects, and 2） for subjects without crowned restored teeth. Each of these two sets of analyses consisted of 8 differently specified cluster analyses as a validation procedure. Results The caries patterns identified from the clustering analysis are： 1） smooth surfaces （other than the maxillary incisor）, 2） maxillary incisor, 3） occlusal surfaces of first molars, and 4） pit and fissure surfaces of second molars. Conclusion The cluster analysis findings were consistent with results produced by multidimensional scaling. These cross-validated patterns may represent resulting disease conditions from different risks or the timing of various risk factor exposures. As such, the patterns may be useful case definitions for caries risk factor investigations in children under 60 months of age.
文摘Patterned-based time series segmentation (PTSS) is an important task for many time series data mining applications. In this paper, according to the characteristics of PTSS, a generalized model is proposed for PTSS. First, a new inter-pretation for PTSS is given by comparing this problem with the prototype-based clustering (PC). Then, a novel model, called clustering-inverse model (CI-model), is presented. Finally, two algorithms are presented to implement this model. Our experimental results on artificial and real-world time series demonstrate that the proposed algorithms are quite effective.
文摘目的对基于聚类分析的慢性阻塞性肺疾病患者共病模式相关研究进行范围综述,明确共病模式的种类、特征及其与健康结局的相关性,为今后慢性阻塞性肺疾病患者共病模式研究与自我管理提供参考。方法遵循范围综述的方法,系统检索Cochrane Library、PubMed、Web of Science、Embase、CINAHL、中国知网、万方数据库、维普网和中国生物医学文献数据库中关于使用聚类分析方法得出慢性阻塞性肺疾病患者共病模式的研究,检索时限为建库至2025年5月14日。依据纳入、排除标准筛选文献,并提取信息资料。结果共纳入13篇文献,提取出40种共病模式、19个在不同共病模式间存在差异的个体特征及11种与共病模式相关的健康结局(含医疗保健利用和住院费用)。结论慢性阻塞性肺疾病患者存在多种共病模式,不同研究报告的共病模式数量及种类存在差异,未来可构建统一的共病模式命名规范;慢性阻塞性肺疾病患者的个体特征和健康结局在不同共病模式下存在差异,其可为慢性阻塞性肺疾病患者的共病管理提供更为精细、准确的分类依据。
文摘目的系统整理并归纳总结乳腺癌的中医证候分布及临床组方用药论治规律,为临床应用中医药治疗乳腺癌提供选方用药思路借鉴。方法检索建库至2024年6月30日中国知网(CNKI)、万方医学网(WANFANG MED ONLINE)、维普网(VIP)、中国生物医学服务系统(SinoMed)文献数据库有关中医诊治乳腺癌的文献资料,建立数据库,通过Excel、SPSS Statistics、SPSS Modeler软件对证型、症状、方剂、药物进行频数统计、系统聚类和Apriori关联规则分析。结果共筛选得到文献164篇,中医证型36个,其中气血两虚、肝郁脾虚、肝郁气滞、气阴两虚、肝肾阴虚、瘀毒互结为常见证型;包含方剂257首,其中成方47首,以逍遥散、八珍汤、六君子汤为主;涉及中药281味,高频中药有白术、茯苓、甘草、黄芪、当归、柴胡、白芍、陈皮、白花蛇舌草等,功效以补虚药、清热药、活血化瘀药、理气药为主,主归肝、脾、肾经;45味高频中药系统聚类分析得到4个聚类方;关联规则分析得到20个药物组合。结论乳腺癌患者以气血两虚、肝郁脾虚、肝郁气滞证为主,在遣方用药上以益气健脾、滋阴养血为基本治法,同时辅以行气活血、清热解毒散结等药物辨证论治。
基金Supported by the National Natural Science Foundation of China(42475015,41930972,and 42005141)。
文摘Activities of tropical cyclones(TCs)over the Bay of Bengal(BoB)often exert appreciable influences on precipitation in China,but how and to what extent these influences operate remain unclear.This study utilizes the International Best Track Archive for Climate Stewardship(IBTrACS)dataset and infrared satellite images from Japan during1996-2021 to analyze the cloud system structure patterns associated with BoB TCs(excluding tropical depressions)and their impact on China rainfall.A fuzzy c-means clustering method was employed to classify TC cloud clusters into three morphological types:Type“6”(T6)and Type“9”(T9),with cloud distributions predominantly located north(south)of the TC center;and type“symmetry”(TSM),with relatively balanced cloud distributions on both sides.The results indicate that T6(41.3%)occurs most frequently in autumn,T9(31.2%)peaks in early summer,and TSM(27.5%)also shows a slight preference for autumn.Distinct circulation features are associated with each type.At 500 hPa over the Qinghai-Xizang Plateau(QXP),T6 is associated with the southern branch trough,T9 with straight westerlies,and TSM with a ridge.At 200 hPa,both centers of T6 and TSM are located at the periphery of the South Asian high(SAH),with enhanced upper-level divergence outflows,resulting in northward extension of cloud clusters under the influence of the westerly jet.In contrast,T9 TCs are embedded within the SAH,where weaker divergence outflows restrict northward cloud development.All three types are characterized by a column-integrated water vapor channel extending from the BoB to southern China,with T9 exhibiting the strongest moisture transport to China.Precipitation analyses reveal that all three types contribute to rainfall in Yunnan Province and the Guangxi Zhuangzu Zizhiqu.Moreover,T6 produces heavier rainfall in southern Xizang Zizhiqu(abbreviated as Xizang hereafter),T9 in Yunnan Province,and TSM in Sichuan Province and Xizang.Remote precipitation induced by TC longdistance moisture transport also exhibits distinct patterns:under T6,high-rainfall areas are widely distributed across southwestern China and parts of southern China;under T9,heavy rainfall is concentrated in southern China;and under TSM,heavy rainfall is mainly confined to Guangdong and Jiangxi provinces.These results provide useful insights for precipitation forecasting in China based on the cloud cluster patterns of the BoB TCs.
