A Novel M - Cluster of Feature Selection A pproach Based on Symmetrical Uncertainty for Increasing Classification Accuracy of Medical Datasets

A Novel M - Cluster of Feature Selection A pproach Based on Symmetrical Uncertainty for Increasing Classification Accuracy of Medical Datasets

Bibliographic Details
Main Authors: Sai Prasad Po tharaju, 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/fulltext201062017.pdf
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spelling doaj-304779305ee6459392c3e07e88ef155b2020-11-25T01:34:37ZengEastern Macedonia and Thrace Institute of TechnologyJournal of Engineering Science and Technology Review1791-23771791-23772017-12-0110615416210.25103/jestr.106.20A Novel M - Cluster of Feature Selection A pproach Based on Symmetrical Uncertainty for Increasing Classification Accuracy of Medical Datasets Sai Prasad Po tharaju0M.Sreedevi1Dept of CSE , K L University, Guntur, Andhra Pradesh, IndiaDept of CSE , K L University, Guntur, Andhra Pradesh, Indiahttp://www.jestr.org/downloads/Volume10Issue6/fulltext201062017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Sai Prasad Po tharaju
M.Sreedevi
spellingShingle Sai Prasad Po tharaju
M.Sreedevi
A Novel M - Cluster of Feature Selection A pproach Based on Symmetrical Uncertainty for Increasing Classification Accuracy of Medical Datasets
Journal of Engineering Science and Technology Review
author_facet Sai Prasad Po tharaju
M.Sreedevi
author_sort Sai Prasad Po tharaju
title A Novel M - Cluster of Feature Selection A pproach Based on Symmetrical Uncertainty for Increasing Classification Accuracy of Medical Datasets
title_short A Novel M - Cluster of Feature Selection A pproach Based on Symmetrical Uncertainty for Increasing Classification Accuracy of Medical Datasets
title_full A Novel M - Cluster of Feature Selection A pproach Based on Symmetrical Uncertainty for Increasing Classification Accuracy of Medical Datasets
title_fullStr A Novel M - Cluster of Feature Selection A pproach Based on Symmetrical Uncertainty for Increasing Classification Accuracy of Medical Datasets
title_full_unstemmed A Novel M - Cluster of Feature Selection A pproach Based on Symmetrical Uncertainty for Increasing Classification Accuracy of Medical Datasets
title_sort novel m - cluster of feature selection a pproach based on symmetrical uncertainty for increasing classification accuracy of medical datasets
publisher Eastern Macedonia and Thrace Institute of Technology
series Journal of Engineering Science and Technology Review
issn 1791-2377
1791-2377
publishDate 2017-12-01
url http://www.jestr.org/downloads/Volume10Issue6/fulltext201062017.pdf
work_keys_str_mv AT saiprasadpotharaju anovelmclusteroffeatureselectionapproachbasedonsymmetricaluncertaintyforincreasingclassificationaccuracyofmedicaldatasets
AT msreedevi anovelmclusteroffeatureselectionapproachbasedonsymmetricaluncertaintyforincreasingclassificationaccuracyofmedicaldatasets
AT saiprasadpotharaju novelmclusteroffeatureselectionapproachbasedonsymmetricaluncertaintyforincreasingclassificationaccuracyofmedicaldatasets
AT msreedevi novelmclusteroffeatureselectionapproachbasedonsymmetricaluncertaintyforincreasingclassificationaccuracyofmedicaldatasets
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