Evaluation of the number of clusters in a data set using p -values from multiple tests of hypotheses

Author:

Modak Dr. Soumita1ORCID

Affiliation:

1. Faculty, Department of Statistics, University of Calcutta, Basanti Devi College, Kolkata, India

Publisher

Informa UK Limited

Subject

Statistics and Probability

Reference65 articles.

1. The high-dimension, low-sample-size geometric representation holds under mild conditions

2. Effect of high dimension: By an example of a two sample problem;Bai Z.;Statistica Sinica,1996

3. Ball G. H. and D. J. Hall 1965. Isodata: A novel method of data analysis and pattern classification . Menlo Park CA: Stanford Research Institute.

4. Model-Based Gaussian and Non-Gaussian Clustering

5. Incremental Cluster Validity Indices for Online Learning of Hard Partitions: Extensions and Comparative Study

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