On Possibilistic Clustering Algorithms Based on Noise Clustering

Yuchi Kanzawa

doi:10.1109/SCIS-ISIS.2016.0023

On Possibilistic Clustering Algorithms Based on Noise Clustering

Yuchi Kanzawa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this study, several possibilistic clustering methods are proposed based on noise clustering. The proposed methods are motivated by the fact that conventional possibilistic clustering methods do not correspond with noise clustering methods in entropy-regularized situations, whereas these methods do correspond in Bezdek-type fuzzified situation.

Original language	English
Title of host publication	Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	42-47
Number of pages	6
ISBN (Electronic)	9781467390415
DOIs	https://doi.org/10.1109/SCIS-ISIS.2016.0023
Publication status	Published - 2016 Dec 28
Event	8th Joint International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016 - Sapporo, Hokkaido, Japan Duration: 2016 Aug 25 → 2016 Aug 28

Other

Other	8th Joint International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016
Country/Territory	Japan
City	Sapporo, Hokkaido
Period	16/8/25 → 16/8/28

Keywords

Noise Clustering
Possibilistic Clustering

ASJC Scopus subject areas

Control and Optimization
Artificial Intelligence
Software
Computational Mathematics
Modelling and Simulation

Access to Document

10.1109/SCIS-ISIS.2016.0023

Cite this

Kanzawa, Y. (2016). On Possibilistic Clustering Algorithms Based on Noise Clustering. In Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016 (pp. 42-47). [7801610] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCIS-ISIS.2016.0023

On Possibilistic Clustering Algorithms Based on Noise Clustering. / Kanzawa, Yuchi.

Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 42-47 7801610.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kanzawa, Y 2016, On Possibilistic Clustering Algorithms Based on Noise Clustering. in Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016., 7801610, Institute of Electrical and Electronics Engineers Inc., pp. 42-47, 8th Joint International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016, Sapporo, Hokkaido, Japan, 16/8/25. https://doi.org/10.1109/SCIS-ISIS.2016.0023

Kanzawa Y. On Possibilistic Clustering Algorithms Based on Noise Clustering. In Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 42-47. 7801610 doi: 10.1109/SCIS-ISIS.2016.0023

@inproceedings{78c2593597fd4866a9f08b57f0de3c0d,

title = "On Possibilistic Clustering Algorithms Based on Noise Clustering",

abstract = "In this study, several possibilistic clustering methods are proposed based on noise clustering. The proposed methods are motivated by the fact that conventional possibilistic clustering methods do not correspond with noise clustering methods in entropy-regularized situations, whereas these methods do correspond in Bezdek-type fuzzified situation.",

keywords = "Noise Clustering, Possibilistic Clustering",

author = "Yuchi Kanzawa",

year = "2016",

month = dec,

day = "28",

doi = "10.1109/SCIS-ISIS.2016.0023",

language = "English",

pages = "42--47",

booktitle = "Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "8th Joint International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016 ; Conference date: 25-08-2016 Through 28-08-2016",

}

TY - GEN

T1 - On Possibilistic Clustering Algorithms Based on Noise Clustering

AU - Kanzawa, Yuchi

PY - 2016/12/28

Y1 - 2016/12/28

N2 - In this study, several possibilistic clustering methods are proposed based on noise clustering. The proposed methods are motivated by the fact that conventional possibilistic clustering methods do not correspond with noise clustering methods in entropy-regularized situations, whereas these methods do correspond in Bezdek-type fuzzified situation.

AB - In this study, several possibilistic clustering methods are proposed based on noise clustering. The proposed methods are motivated by the fact that conventional possibilistic clustering methods do not correspond with noise clustering methods in entropy-regularized situations, whereas these methods do correspond in Bezdek-type fuzzified situation.

KW - Noise Clustering

KW - Possibilistic Clustering

UR - http://www.scopus.com/inward/record.url?scp=85010284867&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85010284867&partnerID=8YFLogxK

U2 - 10.1109/SCIS-ISIS.2016.0023

DO - 10.1109/SCIS-ISIS.2016.0023

M3 - Conference contribution

AN - SCOPUS:85010284867

SP - 42

EP - 47

BT - Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th Joint International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016

Y2 - 25 August 2016 through 28 August 2016

ER -

On Possibilistic Clustering Algorithms Based on Noise Clustering

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this