Robust Data Clustering - Softcover

Kaur, Prabhjot; Sharma, Shashank; Goel, Megha

Softcover

ISBN 10: 3659323772 ISBN 13: 9783659323775

Publisher: LAP LAMBERT Academic Publishing, 2013

Synopsis

Robust clustering techniques are an effective way of clustering data in such a form that effect of outliers on the data clusters is minimized. In this book six data clustering techniques are reviewed and analysed based upon the robust characteristics of clustering. Six data clustering algorithms namely: Fuzzy C-Means (FCM), Possibilistic C-Means (PCM), Possibilistic Fuzzy C-means (PFCM), Credibilistic Fuzzy C-means (CFCM), Noise Clustering (NC) and Density Oriented Fuzzy C-Means (DOFCM) are analysed based upon synthetic noisy data-sets and standard data-sets like DUNN and Bensaid.

About this title

About the Author

Prabhjot Kaur working as a Reader and Head of IT Department, Maharaja Surajmal Institute of technology, Janakpuri, New Delhi.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2013
• ISBN 10: 3659323772
• ISBN 13: 9783659323775
• Binding: Paperback
• Language: English
• Number of pages: 88