Automatic Clustering via Outward Statistical Testing on Density Metrics.
IEEE Transactions on Knowledge and Data Engineering(2016)
摘要
Clustering is one of the research hotspots in the field of data mining and has extensive applications in practice. Recently, Rodriguez and Laio [1] published a clustering algorithm on Science that identifies the clustering centers in an intuitive way and clusters objects efficiently and effectively. However, the algorithm is sensitive to a preassigned parameter and suffers from the identification ...
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关键词
Clustering algorithms,Measurement,Statistical analysis,Robustness,Partitioning algorithms,Approximation algorithms,Optimization
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