Enhanced Supervised Fuzzy Clustering For Pattern Classification

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, n...

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Main Author: Lim , Kian Ming
Format: Thesis
Published: 2010
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id my-mmu-ep.3457
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spelling my-mmu-ep.34572012-03-30T04:53:28Z Enhanced Supervised Fuzzy Clustering For Pattern Classification 2010-08 Lim , Kian Ming QA299.6-433 Analysis 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. 2010-08 Thesis http://shdl.mmu.edu.my/3457/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php masters University of Multimedia Research Library
institution Multimedia University
collection MMU Institutional Repository
topic QA299.6-433 Analysis
spellingShingle QA299.6-433 Analysis
Lim , Kian Ming
Enhanced Supervised Fuzzy Clustering For Pattern Classification
description 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.
format Thesis
qualification_level Master's degree
author Lim , Kian Ming
author_facet Lim , Kian Ming
author_sort Lim , Kian Ming
title Enhanced Supervised Fuzzy Clustering For Pattern Classification
title_short Enhanced Supervised Fuzzy Clustering For Pattern Classification
title_full Enhanced Supervised Fuzzy Clustering For Pattern Classification
title_fullStr Enhanced Supervised Fuzzy Clustering For Pattern Classification
title_full_unstemmed Enhanced Supervised Fuzzy Clustering For Pattern Classification
title_sort enhanced supervised fuzzy clustering for pattern classification
granting_institution University of Multimedia
granting_department Research Library
publishDate 2010
_version_ 1747829502613913600