Algorithms of maximum likelihood data clustering with applications
- 1 December 2002
- journal article
- Published by Elsevier in Physica A: Statistical Mechanics and its Applications
- Vol. 315 (3-4) , 650-664
- https://doi.org/10.1016/s0378-4371(02)00974-3
Abstract
No abstract availableKeywords
All Related Versions
This publication has 15 references indexed in Scilit:
- Quantifying and interpreting collective behavior in financial marketsPhysical Review E, 2001
- Data clustering and noise undressing of correlation matricesPhysical Review E, 2001
- Identification of clusters of companies in stock indices via Potts super-paramagnetic transitionsPhysica A: Statistical Mechanics and its Applications, 2000
- Coupled two-way clustering analysis of gene microarray dataProceedings of the National Academy of Sciences, 2000
- Singular value decomposition for genome-wide expression data processing and modelingProceedings of the National Academy of Sciences, 2000
- Super-paramagnetic clustering of yeast gene expression profilesPhysica A: Statistical Mechanics and its Applications, 2000
- Hierarchical structure in financial marketsZeitschrift für Physik B Condensed Matter, 1999
- Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiationProceedings of the National Academy of Sciences, 1999
- Cluster analysis and display of genome-wide expression patternsProceedings of the National Academy of Sciences, 1998
- Superparamagnetic Clustering of DataPhysical Review Letters, 1996