An efficient k ‐modes algorithm for clustering categorical datasets
Author:
Affiliation:
1. Department of Genetics Development and Cell Biology Iowa State University Ames Iowa USA
2. Department of Statistics Iowa State University Ames Iowa USA
Funder
National Institute of Food and Agriculture
U.S. Department of Agriculture
Publisher
Wiley
Subject
Computer Science Applications,Information Systems,Analysis
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11546
Reference74 articles.
1. A method to compute distance between two categorical values of same attribute in unsupervised learning for categorical data set
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4. The Clustering of Categorical Data: A Comparison of a Model-based and a Distance-based Approach
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