Automatic Clustering via Outward Statistical Testing on Density Metrics.

IEEE Transactions on Knowledge and Data Engineering(2016)

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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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