K-Mean Clustering Analysis and Its Applications to Classification of Tumor Gene

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 206)

Abstract

Feature gene selection of tumor classification is an important means to find the expression of tumor-specific genes. To study the tumor gene expression pattern, k-means clustering analysis method is considered. It is used for selecting the best genetic center, extracting scalar features and determining the corresponding gene label. The experimental results show that the correct rate of the classification results by this method is 87 %.

Keywords

Gene expression profile Feature gene K-mean clustering 

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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.School of Science Heilongjiang Institute of Science and TechnologyHaerbinChina

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