ENHANCED NEIGHBORHOOD NORMALIZED POINTWISE MUTUAL INFORMATION ALGORITHM FOR CONSTRAINT AWARE DATA CLUSTERING

ENHANCED NEIGHBORHOOD NORMALIZED POINTWISE MUTUAL INFORMATION ALGORITHM FOR CONSTRAINT AWARE DATA CLUSTERING

Clustering of similar data items is an important technique in mining useful patterns. To enhance the performance of Clustering, training or learning is an important task. A constraint learning semi-supervised methodology is proposed which incorporates SVM and Normalized Pointwise Mutual Information...

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Bibliographic Details
Main Authors: C.N. Pushpa, Gerard Deepak, Mohammed Zakir, J Thriveni, K.R. Venugopal
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2016-07-01
Series:ICTACT Journal on Soft Computing
Subjects:
Clustering
Constraint Learning
Normalized Pointwise Mutual Information
Recursive Re-Clustering
SVM
Online Access:http://ictactjournals.in/paper/IJSC_Vol_6_Iss_4_paper_4_1287_1292.pdf

Internet

http://ictactjournals.in/paper/IJSC_Vol_6_Iss_4_paper_4_1287_1292.pdf

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