Clustering of Genes Skin’s Cancer

Abstract

Melanoma is the deadliest skin cancer. It can be developed in any parts of the human body. The cancer disease can be cured if it is

diagnosed early and proper treatment is taken. In cancer classification, there is a problem in handling the large data of cancer. Large data contains

meaningless data and redundant data. Therefore, to overcome the problem, many computer approaches for classification have been proposed in

the previous literature. This time, the clustering process for melanoma is conducted using Gaussian Mixture Models, KMeans_rcpp, K-Means

and Support Vector Machine. Therefore, the purpose of this research is to identify and evaluate the performance of the accuracy of genes that

contain melanoma skin cancer using the clustering algorithms.