Metric and Accuracy Ranked Feature Inclusion: Hybrids of Filter and Wrapper Feature Selection Approaches

Metric and Accuracy Ranked Feature Inclusion: Hybrids of Filter and Wrapper Feature Selection Approaches

Feature selection has emerged as a craft, using which we boost the performance of our learning model. Feature or Attribute Selection is a data preprocessing technique, where only the most informative features are considered and given to the predictor. This reduces the computational overhead and impr...

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Bibliographic Details
Main Authors: G. S. Thejas, Rameshwar Garg, S. S. Iyengar, N. R. Sunitha, Prajwal Badrinath, Shasank Chennupati
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Feature selection
filter
wrapper
hybrid
K-means
V-measure
Online Access:https://ieeexplore.ieee.org/document/9536707/

Internet

https://ieeexplore.ieee.org/document/9536707/

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