Feature Selection for Colon Cancer Detection Using K-Means Clustering and Modified Harmony Search Algorithm

Feature Selection for Colon Cancer Detection Using K-Means Clustering and Modified Harmony Search Algorithm

This paper proposes a feature selection method that is effective in distinguishing colorectal cancer patients from normal individuals using K-means clustering and the modified harmony search algorithm. As the genetic cause of colorectal cancer originates from mutations in genes, it is important to c...

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Bibliographic Details
Main Authors: Jin Hee Bae, Minwoo Kim, J.S. Lim, Zong Woo Geem
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Mathematics
Subjects:
feature selection
colorectal cancer
gene expression
K-means clustering
modified harmony search
Online Access:https://www.mdpi.com/2227-7390/9/5/570

Internet

https://www.mdpi.com/2227-7390/9/5/570

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