Data synchronization in a network of coupled phase oscillators

We devised a new method of data mining for a large-scale database. In the method, a network of locally coupled phase oscillators subject to Kuramoto's model substitutes for given multivariate data to generate major features through phase locking of the oscillators, i.e., phase transition of the...

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Bibliographic Details
Published inPhysical review letters Vol. 98; no. 2; p. 024102
Main Authors Miyano, Takaya, Tsutsui, Takako
Format Journal Article
LanguageEnglish
Published United States 12.01.2007
Subjects
Aged
Aged, 80 and over
Frail Elderly
Health Status
Humans
Information Storage and Retrieval - methods
Insurance, Long-Term Care
Japan
Models, Theoretical
Quality of Life
Japan
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Summary:We devised a new method of data mining for a large-scale database. In the method, a network of locally coupled phase oscillators subject to Kuramoto's model substitutes for given multivariate data to generate major features through phase locking of the oscillators, i.e., phase transition of the data set. We applied the method to the national database of care needs certification for the Japanese public long-term care insurance program, and found three major patterns in the aging process of the frail elderly. This work revealed the latent utility of Kuramoto's model for data processing.
ISSN:0031-9007
DOI:10.1103/physrevlett.98.024102