Presentation 2014-03-06
On Applying Affine Arithmetic to Possibilistic Clustering
Yuchi KANZAWA,
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Abstract(in English) In this report, applying affine arithmetic to possibilistic c-means clustering is proposed. Setting cluster number with one and initial cluster center with a datum, cluster centers for possibilistic c-means clustering converge to points less than data. The affine form with center of the first cluster center and a radius is checked with affine arithmetic for convergence. Clustering procedure is not needed for other data if such the data are in the previously obtained affine forms, and they are classified into the corresponding cluster.
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Keyword(in English) Affine Arithmetic / Possibilistic c-Means Clustering
Paper # CAS2013-105,SIP2013-151,CS2013-118
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Committee CS
Conference Date 2014/2/27(1days)
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Language JPN
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Title (in English) On Applying Affine Arithmetic to Possibilistic Clustering
Sub Title (in English)
Keyword(1) Affine Arithmetic
Keyword(2) Possibilistic c-Means Clustering
1st Author's Name Yuchi KANZAWA
1st Author's Affiliation Faculty of Engineering, Shibaura Institute of Technolgy()
Date 2014-03-06
Paper # CAS2013-105,SIP2013-151,CS2013-118
Volume (vol) vol.113
Number (no) 465
Page pp.pp.-
#Pages 4
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