Choosing the number of clusters
Author:
Affiliation:
1. Department of Computer Science & Information Systems, Birkbeck University of London, London, UK
2. Department of Data Analysis and Machine Intelligence, Higher School of Economics, Moscow, Russia
Publisher
Wiley
Subject
General Computer Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/widm.15
Reference65 articles.
1. Estimation of Dependences Based on Empirical Data
2. Assessing a mixture model for clustering with the integrated completed likelihood
3. High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length
4. PROBABILITY MODELS AND HYPOTHESES TESTING IN PARTITIONING CLUSTER ANALYSIS
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