摘要
研究了联机数据挖掘系统中的并行和增量聚类算法,并给出了算法伪码。实验表明,联机增量聚类算法相对于传统的Apriori算法具有较大优势,同时证明了增量聚类算法及其联机数据挖掘系统的实用性。
We mvestigate parallel and incremental clustering algorithm and present algorithm pseudocodes. Experiments show that the online incremental clustering algorithm is far prior to traditional Apriori algorithm and prove the practicability of incremental clustering algorithm in online data mining system.
出处
《南京邮电学院学报（自然科学版）》
2004年第4期17-19,共3页
Journal of Nanjing University of Posts and Telecommunications
