Cancer Diagnosis Using Clustering Technique:A Literature Survey

DNA microarray analysis is one of the fastest-growing new technologies in the field of genetic research. A microarray dataset contains the expression levels of thousands of genes for an experimental sample. All the genes may not be biologically significant in diagnosing the disease. Clustering algorithm which is an unsupervised machine learning approach has been proposed to select the significant genes. In this paper, we have categories various clustering algorithms found in the literature into distinct categories and also mention hybrid technique to improve the efficiency. The results of K-Means clustering to cluster the genes of the Leukemia dataset for different values of K are analyzed. The value of K (number of cluster) for K-Mean should be predefined.