A semi-supervised regression model for mixed numerical and categorical variables
Pattern Recognition
On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new possibilistic clustering method: the possibilistic K-modes
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
RPKM: the rough possibilistic k-modes
ISMIS'12 Proceedings of the 20th international conference on Foundations of Intelligent Systems
Central clustering of categorical data with automated feature weighting
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Recently, Chaturvedi, Green and Carroll (2001) presented a nonparametric approachto deriving clusters from categorical data using a new clustering procedure calledK-modes. Huang (1998) proposed the K-modes clustering algorithm. In this note, wedemonstrate the equivalence of the two K-modes procedures.