On Application of a ProbabilisticK-Nearest Neighbors Model for Cluster Validation Problem
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Publication:3098934
DOI10.1080/03610926.2011.562786zbMath1227.62045OpenAlexW2029075426MaRDI QIDQ3098934
D. Toledano-Kitai, Z. Barzily, Renata Avros, V. Eh. Vol'kovich
Publication date: 18 November 2011
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2011.562786
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Hypothesis testing in multivariate analysis (62H15)
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Cites Work
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- Estimating the Number of Clusters in a Data Set Via the Gap Statistic
- An application of the minimal spanning tree approach to the cluster stability problem
- Statistical theory in clustering
- Measuring the influence of individual data points in a cluster analysis.
- A statistical model of cluster stability
- A classification EM algorithm for clustering and two stochastic versions
- Resampling Method for Unsupervised Estimation of Cluster Validity
- A Criterion for Determining the Number of Groups in a Data Set Using Sum-of-Squares Clustering
- Finding Groups in Data
- Finding the Number of Clusters in a Dataset
- Stability-Based Validation of Clustering Solutions
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