Abstract
In this chapter, we provide an overview of the categorical data clustering problem. We first present different techniques for the general cluster analysis problem, and then study how these techniques specialize to the case of non-numerical (categorical) data. We also present measures and techniques developed specifically for this domain.
Cite
CITATION STYLE
APA
Andritsos, P., & Tsaparas, P. (2017). Categorical Data Clustering. In Encyclopedia of Machine Learning and Data Mining (pp. 188–193). Springer Science+Business Media. https://doi.org/10.1007/978-1-4899-7687-1_35
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