Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/485758
Title: Fast and efficient non parametric classification and clustering methods for largr data sets
Researcher: Babu, V. Suresh
Guide(s): Viswanath, P.
Keywords: Automation and Control Systems
Computer Science
Engineering and Technology
University: Indian Institute of Technology Guwahati
Completed Date: 2009
Abstract: Pattern Classification and clustering are two prominent pattern recognition tasks applied in various domains Non parametric methods are those which does not assume any model or distribution from for the data Hence these methods are more general and can give better results provided the data set is a larger one Nearest neighbor classifier NNC and its variants like k nearest neighbor classifier k NNC are popular non parametric classifiers They show good performance and has asymptotic behavio
Pagination: Not Available
URI: http://hdl.handle.net/10603/485758
Appears in Departments:Department of Computer Science and Engineering

Files in This Item:
File Description SizeFormat 
01_fulltext.pdfAttached File6.23 MBAdobe PDFView/Open
04_abstract.pdf217.3 kBAdobe PDFView/Open
80_recommendation.pdf288.8 kBAdobe PDFView/Open
Show full item record


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: