EHHM: Electrical Harmony Based Hybrid Meta-Heuristic for Feature Selection

EHHM: Electrical Harmony Based Hybrid Meta-Heuristic for Feature Selection

Selecting the most relevant features from a high dimensional dataset is always a challenging task. In this regard, the feature selection (FS) method acts as a solution to this problem mainly in the domain of data mining and machine learning. It aims at improving the performance of a learning model g...

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Bibliographic Details
Main Authors: Khalid Hassan Sheikh, Shameem Ahmed, Krishnendu Mukhopadhyay, Pawan Kumar Singh, Jin Hee Yoon, Zong Woo Geem, Ram Sarkar
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Electrical harmony
feature selection
harmony search
artificial electric field algorithm
meta-heuristic
hybrid optimization
Online Access:https://ieeexplore.ieee.org/document/9178740/

Internet

https://ieeexplore.ieee.org/document/9178740/

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