Data Clustering Using the Concept of Psychological Potential Field

Yitong ZHANG; Kazuo SHIGETA; Eiji SHIMIZU

Data Clustering Using the Concept of Psychological Potential Field

Yitong ZHANG, Kazuo SHIGETA, Eiji SHIMIZU

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A new approach of data clustering which is capable of detecting linked or crossed clusters, is proposed. In conventional clustering approaches, it is a hard work to separate linked or crossed clusters if the cluster prototypes are difficult to be represented by a mathematical formula. In this paper, we extract the force information from data points using the concept of psychological potential field, and utilize the information to measure the similarity between data points. Through several experiments, the force shows its effectiveness in diiscriminating different clusters even if they are linked or corssed.

Publication: IEICE TRANSACTIONS on Information Vol.E77-D No.11 pp.1198-1205

Publication Date: 1994/11/25

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Type of Manuscript: Special Section PAPER (Special Issue on Computer Vision)

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Yitong ZHANG, Kazuo SHIGETA, Eiji SHIMIZU, "Data Clustering Using the Concept of Psychological Potential Field" in IEICE TRANSACTIONS on Information, vol. E77-D, no. 11, pp. 1198-1205, November 1994, doi: .
Abstract: A new approach of data clustering which is capable of detecting linked or crossed clusters, is proposed. In conventional clustering approaches, it is a hard work to separate linked or crossed clusters if the cluster prototypes are difficult to be represented by a mathematical formula. In this paper, we extract the force information from data points using the concept of psychological potential field, and utilize the information to measure the similarity between data points. Through several experiments, the force shows its effectiveness in diiscriminating different clusters even if they are linked or corssed.
URL: https://globals.ieice.org/en_transactions/information/10.1587/e77-d_11_1198/_p

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@ARTICLE{e77-d_11_1198,
author={Yitong ZHANG, Kazuo SHIGETA, Eiji SHIMIZU, },
journal={IEICE TRANSACTIONS on Information},
title={Data Clustering Using the Concept of Psychological Potential Field},
year={1994},
volume={E77-D},
number={11},
pages={1198-1205},
abstract={A new approach of data clustering which is capable of detecting linked or crossed clusters, is proposed. In conventional clustering approaches, it is a hard work to separate linked or crossed clusters if the cluster prototypes are difficult to be represented by a mathematical formula. In this paper, we extract the force information from data points using the concept of psychological potential field, and utilize the information to measure the similarity between data points. Through several experiments, the force shows its effectiveness in diiscriminating different clusters even if they are linked or corssed.},
keywords={},
doi={},
ISSN={},
month={November},}

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TY - JOUR
TI - Data Clustering Using the Concept of Psychological Potential Field
T2 - IEICE TRANSACTIONS on Information
SP - 1198
EP - 1205
AU - Yitong ZHANG
AU - Kazuo SHIGETA
AU - Eiji SHIMIZU
PY - 1994
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E77-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 1994
AB - A new approach of data clustering which is capable of detecting linked or crossed clusters, is proposed. In conventional clustering approaches, it is a hard work to separate linked or crossed clusters if the cluster prototypes are difficult to be represented by a mathematical formula. In this paper, we extract the force information from data points using the concept of psychological potential field, and utilize the information to measure the similarity between data points. Through several experiments, the force shows its effectiveness in diiscriminating different clusters even if they are linked or corssed.
ER -