Presentation | 2007-03-05 Data Clustering by Collective Synchronization in an Ensemble of Multivariate Data Takaya MIYANO, Takako TSUTSUI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a new method of data mining based on an analogue of the Kuramoto model. In the method, multivariate data are input to the natural frequencies of phase oscillators that form a local network through short-range interactions between phase vectors. Common frequencies of groups of phase oscillators attained by partial phase-locking are interpreted as major templates representing general features of the multivariate data set. This method was applied to the national database of care needs certification for the Japanese public long-term care insurance program. Data syncronization was achieved and generated three major patterns in the ageing process of the frail elderly. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Collective Synchronization / Phase Oscillator / Data Mining / Medical Infomation |
Paper # | NLP2006-148 |
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Committee | NLP |
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Conference Date | 2007/2/26(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Data Clustering by Collective Synchronization in an Ensemble of Multivariate Data |
Sub Title (in English) | |
Keyword(1) | Collective Synchronization |
Keyword(2) | Phase Oscillator |
Keyword(3) | Data Mining |
Keyword(4) | Medical Infomation |
1st Author's Name | Takaya MIYANO |
1st Author's Affiliation | Faculty of Science and Engineering, Ritsumeikan University() |
2nd Author's Name | Takako TSUTSUI |
2nd Author's Affiliation | National Institute of Public Health |
Date | 2007-03-05 |
Paper # | NLP2006-148 |
Volume (vol) | vol.106 |
Number (no) | 573 |
Page | pp.pp.- |
#Pages | 5 |
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