Model selection for Gaussian latent block clustering with the integrated classification likelihood
- 9 February 2014
- journal article
- research article
- Published by Springer Nature in Advances in Data Analysis and Classification
- Vol. 12 (3) , 489-508
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- Exact and Monte Carlo calculations of integrated likelihoods for the latent class modelJournal of Statistical Planning and Inference, 2010
- Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clusteringBMC Bioinformatics, 2007
- A mixture model for random graphsStatistics and Computing, 2007
- A Survey of Clustering Data Mining Techniques2006
- Spectral Biclustering of Microarray Data: Coclustering Genes and ConditionsGenome Research, 2003
- Clustering with block mixture modelsPattern Recognition, 2003
- Assessing a mixture model for clustering with the integrated completed likelihoodIEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
- Bloc Voting in the United States SenateJournal of Classification, 2000
- How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster AnalysisThe Computer Journal, 1998
- Direct Clustering of a Data MatrixJournal of the American Statistical Association, 1972