Clustering of Gene Expression Data.

Date of Submission

December 2004

Date of Award

Winter 12-12-2005

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Master's Dissertation

Degree Name

Master of Technology

Subject Name

Computer Science


Machine Intelligence Unit (MIU-Kolkata)


De, Rajat Kumar (MIU-Kolkata; ISI)

Abstract (Summary of the Work)

In this thesis we review some standard clustering algorithms and use them to analyze the gene expression data. We also improve upon one of these algorithms which leads to better results on certain data sets. We also discuss a case based system to select prototypes in the data set and apply the clustering algorithms upon the resultant prototypes. This approach results in reduced time complexity of the clustering al- gorithms while maintaining the quality of the clusters obtained on the original data sets. The results of the algorithms are presented on the breast cancer data set, yeast data set and a simulated data set.


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Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.


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