Presentation 2007-11-29
Finding Representative of Cluster at Invariant Location by Discretized Clustering Method Dynamic Coalescence Model
Takeshi KAITA, Hideo KITAJIMA, Miki HASEYAMA, Shingo TOMITA,
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Abstract(in English) We propose a discreted clustering method that founds representative of cluster found by the clustering method Dynamic Coalescence Model (DCM) at invariant location. In our proposed method, points are expressed by particles, and they are moved by their acceleration calculated by its gravity force from other particles. So, representative of cluster is founded near the centre of gravity of the cluster. Availability of our method to projection, region partition, characters recognition, etc. is pointed out.
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Keyword(in English) clustering / Dynamic Coalescence Model / linear filter / distribution identification / representative points
Paper # PRMU2007-127,MVE2007-60
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Conference Information
Committee PRMU
Conference Date 2007/11/22(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Finding Representative of Cluster at Invariant Location by Discretized Clustering Method Dynamic Coalescence Model
Sub Title (in English)
Keyword(1) clustering
Keyword(2) Dynamic Coalescence Model
Keyword(3) linear filter
Keyword(4) distribution identification
Keyword(5) representative points
1st Author's Name Takeshi KAITA
1st Author's Affiliation Oshima National College of Maritime Technology()
2nd Author's Name Hideo KITAJIMA
2nd Author's Affiliation Oshima National College of Maritime Technology
3rd Author's Name Miki HASEYAMA
3rd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
4th Author's Name Shingo TOMITA
4th Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2007-11-29
Paper # PRMU2007-127,MVE2007-60
Volume (vol) vol.107
Number (no) 359
Page pp.pp.-
#Pages 6
Date of Issue