Citation
Lim , Kian Ming (2010) Enhanced Supervised Fuzzy Clustering For Pattern Classification. Masters thesis, University of Multimedia. Full text not available from this repository.
Official URL: http://vlib.mmu.edu.my/diglib/login/dlusr/login.ph...
Abstract
Classification is the problem of discovering homogenous groups of data points in a given data set, which is called a cluster. In this thesis, the term classification and clustering are used interchangeably. In real application, the performance of classification method has to meet three properties, namely deterministic decision, missing data due to sensor failure and high dimensionality of data.
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA299.6-433 Analysis |
| Divisions: | Faculty of Engineering and Technology (FET) |
| Depositing User: | Ms Suzilawati Abu Samah |
| Date Deposited: | 30 Mar 2012 04:53 |
| Last Modified: | 30 Mar 2012 04:53 |
| URII: | http://shdl.mmu.edu.my/id/eprint/3457 |
Downloads
Downloads per month over past year
 Edit (login required) |