Redefining Clustering for High-Dimensional Applications
IEEE Transactions on Knowledge and Data Engineering
Categorical data visualization and clustering using subjective factors
Data & Knowledge Engineering
TCSOM: Clustering Transactions Using Self-Organizing Map
Neural Processing Letters
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In this paper we propose two methods to study the problem of clustering categorical data. The first method is based on dynamical system approach. The second method is based on the graph partitioning approach.