Space Structure and Clustering of Categorical Data.
IEEE Transactions on Neural Networks and Learning Systems(2016)
摘要
Learning from categorical data plays a fundamental role in such areas as pattern recognition, machine learning, data mining, and knowledge discovery. To effectively discover the group structure inherent in a set of categorical objects, many categorical clustering algorithms have been developed in the literature, among which k-modes-type algorithms are very representative because of their good perf...
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关键词
Clustering algorithms,Algorithm design and analysis,Prototypes,Data mining,Knowledge discovery,Euclidean distance
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