A Novel Clustering Based Candidate Feature Selection Framework Using Correlation Coefficient for Improving Classification Performance
Main Authors: | Sai Prasad Potharaju, M.Sreedevi |
---|---|
Format: | Article |
Language: | English |
Published: |
Eastern Macedonia and Thrace Institute of Technology
2017-12-01
|
Series: | Journal of Engineering Science and Technology Review |
Online Access: | http://www.jestr.org/downloads/Volume10Issue6/fulltext61062017.pdf |
Similar Items
-
A Novel M - Cluster of Feature Selection A pproach Based on Symmetrical Uncertainty for Increasing Classification Accuracy of Medical Datasets
by: Sai Prasad Po tharaju, et al.
Published: (2017-12-01) -
Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification
by: Jiucheng Xu, et al.
Published: (2018-01-01) -
Clustering Coefficients for Correlation Networks
by: Naoki Masuda, et al.
Published: (2018-03-01) -
Feature Selection and Classification for Mammographic Microcalcification Clusters
by: Chiou, Jenq-Horng, et al.
Published: (2004) -
Feature Selection Methods Based on Symmetric Uncertainty Coefficients and Independent Classification Information
by: Li Zhang, et al.
Published: (2021-01-01)