Algorithms of fuzzy clustering with partial supervision

Witold Pedrycz

doi:10.1016/0167-8655(85)90037-6

Algorithms of fuzzy clustering with partial supervision

Witold Pedrycz

Department of Measurements and Control Systems (RAU/RAU2)

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

140 Citations (Scopus)

Abstract

The paper is concerned with methods of fuzzy clustering based minimization of a scalar performance index with the aid of some labelled patterns. Some modifications of the performance index that take into account the results of partial supervision are proposed. The results of the algorithms introduced are exemplified by the use of numerical examples (Gustafson's cross and EKG data set).

Original language	English
Pages (from-to)	13-20
Number of pages	8
Journal	Pattern Recognition Letters
Volume	3
Issue number	1
DOIs	https://doi.org/10.1016/0167-8655(85)90037-6
Publication status	Published - Jan 1985

Keywords

Fuzzy clustering
partial supervision

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

Access to Document

10.1016/0167-8655(85)90037-6

Cite this

@article{314bdbb037b04cac8f5b9313034d3ba4,

title = "Algorithms of fuzzy clustering with partial supervision",

abstract = "The paper is concerned with methods of fuzzy clustering based minimization of a scalar performance index with the aid of some labelled patterns. Some modifications of the performance index that take into account the results of partial supervision are proposed. The results of the algorithms introduced are exemplified by the use of numerical examples (Gustafson's cross and EKG data set).",

keywords = "Fuzzy clustering, partial supervision",

author = "Witold Pedrycz",

year = "1985",

month = jan,

doi = "10.1016/0167-8655(85)90037-6",

language = "English",

volume = "3",

pages = "13--20",

journal = "Pattern Recognition Letters",

issn = "0167-8655",

publisher = "Elsevier B.V.",

number = "1",

}

TY - JOUR

T1 - Algorithms of fuzzy clustering with partial supervision

AU - Pedrycz, Witold

PY - 1985/1

Y1 - 1985/1

N2 - The paper is concerned with methods of fuzzy clustering based minimization of a scalar performance index with the aid of some labelled patterns. Some modifications of the performance index that take into account the results of partial supervision are proposed. The results of the algorithms introduced are exemplified by the use of numerical examples (Gustafson's cross and EKG data set).

AB - The paper is concerned with methods of fuzzy clustering based minimization of a scalar performance index with the aid of some labelled patterns. Some modifications of the performance index that take into account the results of partial supervision are proposed. The results of the algorithms introduced are exemplified by the use of numerical examples (Gustafson's cross and EKG data set).

KW - Fuzzy clustering

KW - partial supervision

UR - https://www.scopus.com/pages/publications/0001931761

U2 - 10.1016/0167-8655(85)90037-6

DO - 10.1016/0167-8655(85)90037-6

M3 - Article

AN - SCOPUS:0001931761

SN - 0167-8655

VL - 3

SP - 13

EP - 20

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

IS - 1

ER -

Algorithms of fuzzy clustering with partial supervision

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this