Artificial Bee Colony Programming for Feature Selected Cancer Data Classification

Volume: 4, Issue: 7, Pages: 75 - 84
Published: Jan 1, 2018
Abstract
Feature selection provides model extraction by using the necessary / related features and improves classification. Feature selection is a desired process at eliminating irrelevant and redundant features in data. Classification is used to distribute the data in a balanced way among the various classes defined in the data as a result of the feature selection. In this paper, we investigated the feature selected classification performance in cancer...
Paper Details
Title
Artificial Bee Colony Programming for Feature Selected Cancer Data Classification
Published Date
Jan 1, 2018
Volume
4
Issue
7
Pages
75 - 84
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