Data Analysis of Clustering and Classification Schemes in Networking : Node stability analysis, NRGA and ELMKNN

Akey Sungheetha

ISBN 10: 6200467080 / ISBN 13: 9786200467089

Published by LAP LAMBERT Academic Publishing, 2019

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - In MANET, EOPHMR approach has been used to conserve energy in the nodes. The energy reduction of the proposed EOPHMR approach is observed to be significant.A clustering algorithm that is a hybrid model of IG NRGA and KNN is presented for feature selection in microarray data sets. NRGA algorithm is used to do feature selection based on clustering technique. The approach uses ELM and FKNN as classifiers. The objective of the proposed systems is to get the highest accuracy when classifying the samples by the means a small subset of informative genes. A combination of two proposed gene selection techniques is used to solve the problem of the microarray high dimensionality. The combined technique gives high performance as it reduces the amount genes. It chooses gene for classification as each of them are much efficient binary classification techniques and typically give good results by attenuating their variety of attributes.

Seller Inventory # 9786200467089

Bibliographic Details

• Title: Data Analysis of Clustering and Classification Schemes in Networking : Node stability analysis, NRGA and ELMKNN
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 6200467080
• ISBN 13: 9786200467089
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 17D millimeters 220 millimeters width by 150 millimeters height by 17 millimeters depth
• Weight: 417 grams