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Open Access Highly Accessed Research article

CLAG: an unsupervised non hierarchical clustering algorithm handling biological data

Linda Dib12 and Alessandra Carbone12*

Author Affiliations

1 , UPMC, UMR7238, Génomique Analytique, 15 rue de l’Ecole de Médecine, F-75006 Paris, France

2 , CNRS, UMR7238, Laboratoire de Génomique des Microorganismes, F-75006 Paris, France

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BMC Bioinformatics 2012, 13:194  doi:10.1186/1471-2105-13-194

Published: 8 August 2012

Additional files

Additional file 1:

CLAG instructions and Figures issued from the datasets analysis. A list of instructions for running CLAG and extra figures for the analysis of the four datasets discussed in the article are given.

Format: PDF Size: 8.9MB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 2:

CLAG executions on the breast cancer dataset. CLAG executions on the breast cancer dataset are detailed with respect to parameters variation. Executions of other clustering tools (k-means, c-means, MCLUST) are also reported.

Format: XLS Size: 16KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 3:

CLAG executions on the brain cancer dataset. CLAG executions on the brain cancer dataset are detailed with respect to parameters variation. Executions of other clustering tools (k-means, c-means, MCLUST) are also reported.

Format: XLS Size: 20KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 4:

CLAG executions on the globin dataset. CLAG executions on the globin dataset are detailed with respect to parameters variation. Executions of other clustering tools (k-means, c-means, MCLUST) are also reported.

Format: XLS Size: 30KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 5:

CLAG executions on all multi-dimensional datasets and best models computed by MCLUST. CLAG executions on all multi-dimensional datasets are detailed with respect to parameters variation. BIC values for best model selection are reported for MCLUST.

Format: XLS Size: 41KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 6:

CLAG executions on synthetic datasets G4, G5, G6. CLAG executions on synthetic datasets G4, G5, G6. Executions of other clustering tools (k-means, c-means, MCLUST) are also reported.

Format: XLS Size: 38KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data