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Resilient k-d trees: k-means in space revisited
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作者 FabianGIESEKE GabrielMORUZ JanVAHRENHOLD 《Frontiers of Computer Science》 SCIE EI CSCD 2012年第2期166-178,共13页
We propose a k-d tree variant that is resilient to a pre-described number of memory corruptions while still us- ing only linear space. While the data structure is of indepen- dent interest, we demonstrate its use in t... We propose a k-d tree variant that is resilient to a pre-described number of memory corruptions while still us- ing only linear space. While the data structure is of indepen- dent interest, we demonstrate its use in the context of high- radiation environments. Our experimental evaluation demon- strates that the resulting approach leads to a significantly higher resiliency rate compared to previous results. This is es- pecially the case for large-scale multi-spectral satellite data, which renders the proposed approach well-suited to operate aboard today's satellites. 展开更多
关键词 data mining CLUSTERING resilient algorithms anddata structures
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