An Improvised Machine Learning Model Based on Mutual Information Feature Selection Approach for Microbes Classification
The accurate classification of microbes is critical in today’s context for monitoring the ecological balance of a habitat. Hence, in this research work, a novel method to automate the process of identifying microorganisms has been implemented. To extract the bodies of microorganisms accurately, a ge...
Main Authors: | Anaahat Dhindsa, Sanjay Bhatia, Sunil Agrawal, Balwinder Singh Sohi |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/23/2/257 |
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