A Partitioning Based Algorithm to Fuzzy Tricluster

A Partitioning Based Algorithm to Fuzzy Tricluster

Fuzzy clustering allows an object to exist in multiple clusters and represents the affiliation of objects to clusters by memberships. It is extended to fuzzy coclustering by assigning both objects and features membership functions. In this paper we propose a new fuzzy triclustering (FTC) algorithm...

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Main Authors: Yongli Liu, Tengfei Yang, Lili Fu
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2015/235790
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spelling doaj-2faf2d7128ce4d84b67fb5255c59bd8b2020-11-24T22:54:20ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/235790235790A Partitioning Based Algorithm to Fuzzy TriclusterYongli Liu0Tengfei Yang1Lili Fu2School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan 454000, ChinaSchool of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan 454000, ChinaSchool of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan 454000, ChinaFuzzy clustering allows an object to exist in multiple clusters and represents the affiliation of objects to clusters by memberships. It is extended to fuzzy coclustering by assigning both objects and features membership functions. In this paper we propose a new fuzzy triclustering (FTC) algorithm for automatic categorization of three-dimensional data collections. FTC specifies membership function for each dimension and is able to generate fuzzy clusters simultaneously on three dimensions. Thus FTC divides a three-dimensional cube into many little blocks which should be triclusters with strong coherent bonding among its members. The experimental studies on MovieLens demonstrate the strength of FTC in terms of accuracy compared to some recent popular fuzzy clustering and coclustering approaches.http://dx.doi.org/10.1155/2015/235790
collection DOAJ
language English
format Article
sources DOAJ
author Yongli Liu
Tengfei Yang
Lili Fu
spellingShingle Yongli Liu
Tengfei Yang
Lili Fu
A Partitioning Based Algorithm to Fuzzy Tricluster
Mathematical Problems in Engineering
author_facet Yongli Liu
Tengfei Yang
Lili Fu
author_sort Yongli Liu
title A Partitioning Based Algorithm to Fuzzy Tricluster
title_short A Partitioning Based Algorithm to Fuzzy Tricluster
title_full A Partitioning Based Algorithm to Fuzzy Tricluster
title_fullStr A Partitioning Based Algorithm to Fuzzy Tricluster
title_full_unstemmed A Partitioning Based Algorithm to Fuzzy Tricluster
title_sort partitioning based algorithm to fuzzy tricluster
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2015-01-01
description Fuzzy clustering allows an object to exist in multiple clusters and represents the affiliation of objects to clusters by memberships. It is extended to fuzzy coclustering by assigning both objects and features membership functions. In this paper we propose a new fuzzy triclustering (FTC) algorithm for automatic categorization of three-dimensional data collections. FTC specifies membership function for each dimension and is able to generate fuzzy clusters simultaneously on three dimensions. Thus FTC divides a three-dimensional cube into many little blocks which should be triclusters with strong coherent bonding among its members. The experimental studies on MovieLens demonstrate the strength of FTC in terms of accuracy compared to some recent popular fuzzy clustering and coclustering approaches.
url http://dx.doi.org/10.1155/2015/235790
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AT tengfeiyang apartitioningbasedalgorithmtofuzzytricluster
AT lilifu apartitioningbasedalgorithmtofuzzytricluster
AT yongliliu partitioningbasedalgorithmtofuzzytricluster
AT tengfeiyang partitioningbasedalgorithmtofuzzytricluster
AT lilifu partitioningbasedalgorithmtofuzzytricluster
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