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 | Size | Format | |
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01_fulltext.pdf | Attached File | 6.23 MB | Adobe PDF | View/Open |
04_abstract.pdf | 217.3 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 288.8 kB | Adobe PDF | View/Open |
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