The Global Characteristic Cluster to the Base Station Classification

Shi Bao Jiang; Chuan Feng Bai; Cui Feng Du

doi:10.4028/www.scientific.net/AMR.846-847.1088

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 846-847The Global Characteristic Cluster to the Base...

The Global Characteristic Cluster to the Base Station Classification

Abstract:

due to the time sequence has some unique characteristics, problems with the traditional point to point distance method are realized by more and more researchers when measuring the similarity of time series. Therefore, this paper uses a new similarity measure, i.e. global characteristics, extracting values of statistical distribution, seasonal, spectral and other characteristics from time series to construct eigenvector, based on the characteristic vector clustering analysis. By conducting time series clustering of communication base stations in a region, this paper confirms the method is able to deal with global characteristics that has a larger scale of time series, and to calculate effectively large time series.

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Periodical:

Advanced Materials Research (Volumes 846-847)

Pages:

1088-1091

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.846-847.1088

Citation:

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Online since:

November 2013

Authors:

Shi Bao Jiang*, Chuan Feng Bai, Cui Feng Du

Keywords:

Clustering, Global Characteristics, Time Series

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* - Corresponding Author

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