Local-Density Subspace Distributed Clustering for High-Dimensional Data
IEEE Transactions on Parallel and Distributed Systems(2020)
摘要
Distributed clustering is emerging along with the advent of the era of big data. However, most existing established distributed clustering methods focus on problems caused by a large amount of data rather than caused by the large dimension of data. Consequently, they suffer the “curse” of dimensionality (e.g., poor performance and heavy network overhead) when high-dimensional (HD) data are cluster...
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关键词
Clustering algorithms,Distributed databases,Principal component analysis,Data models,Clustering methods,Big Data,Kernel
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