Fuzzy kernel clustering self-adaptive algorithm

Kan Li; Yu Shu Liu

Fuzzy kernel clustering self-adaptive algorithm

Kan Li^*
, Yu Shu Liu

^*Corresponding author for this work

School of Computer Science and Technology

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

Kernel function and validity measure function are introduced to the fuzzy clustering algorithm, and fuzzy kernel clustering self-adaptive algorithm is proposed. The algorithm owns better performance than classical clustering algorithms. Experiment results show the feasibility and effectiveness of the fuzzy kernel clustering self-adaptive algorithm.

Original language	English
Pages (from-to)	595-597
Number of pages	3
Journal	Kongzhi yu Juece/Control and Decision
Volume	19
Issue number	5
Publication status	Published - May 2004

Keywords

Feature space
Fuzzy C-means
Mercer kernel
Validity measure function

Cite this

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title = "Fuzzy kernel clustering self-adaptive algorithm",

abstract = "Kernel function and validity measure function are introduced to the fuzzy clustering algorithm, and fuzzy kernel clustering self-adaptive algorithm is proposed. The algorithm owns better performance than classical clustering algorithms. Experiment results show the feasibility and effectiveness of the fuzzy kernel clustering self-adaptive algorithm.",

keywords = "Feature space, Fuzzy C-means, Mercer kernel, Validity measure function",

author = "Kan Li and Liu, \{Yu Shu\}",

year = "2004",

month = may,

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pages = "595--597",

journal = "Kongzhi yu Juece/Control and Decision",

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AU - Liu, Yu Shu

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AB - Kernel function and validity measure function are introduced to the fuzzy clustering algorithm, and fuzzy kernel clustering self-adaptive algorithm is proposed. The algorithm owns better performance than classical clustering algorithms. Experiment results show the feasibility and effectiveness of the fuzzy kernel clustering self-adaptive algorithm.

KW - Feature space

KW - Fuzzy C-means

KW - Mercer kernel

KW - Validity measure function

UR - https://www.scopus.com/pages/publications/3442877646

M3 - Article

AN - SCOPUS:3442877646

SN - 1001-0920

VL - 19

SP - 595

EP - 597

JO - Kongzhi yu Juece/Control and Decision

JF - Kongzhi yu Juece/Control and Decision

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ER -

Fuzzy kernel clustering self-adaptive algorithm

Abstract

Keywords

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