A coherence-based approach for clustering of multivariate time series
碩士 === 國立臺北大學 === 統計學系 === 100 === The clustering analysis of time series data have been applied in many fields extensively. The application of coherence method in the spectral clustering analysis can overcome the problems among the traditional distance measuring clustering; hence derives an admired...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2012
|
Online Access: | http://ndltd.ncl.edu.tw/handle/93694372807790807171 |
id |
ndltd-TW-100NTPU0337008 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-100NTPU03370082015-10-13T21:12:10Z http://ndltd.ncl.edu.tw/handle/93694372807790807171 A coherence-based approach for clustering of multivariate time series 利用coherence分析於多變量時間序列資料之分群 Kao Chien 高謙 碩士 國立臺北大學 統計學系 100 The clustering analysis of time series data have been applied in many fields extensively. The application of coherence method in the spectral clustering analysis can overcome the problems among the traditional distance measuring clustering; hence derives an admired clustering result. However, most of the researches in coherence clustering are focusing in the univariate setup. In this study, we propose a multivariate coherence clustering algorithm. The performance will be gauged through real data analysis and simulations under different conditions and parameters. We look forward to have a good result of multivariate time series clustering. Lin Tsair-Chuan 林財川 2012 學位論文 ; thesis 48 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立臺北大學 === 統計學系 === 100 === The clustering analysis of time series data have been applied in many fields extensively. The application of coherence method in the spectral clustering analysis can overcome the problems among the traditional distance measuring clustering; hence derives an admired clustering result. However, most of the researches in coherence clustering are focusing in the univariate setup.
In this study, we propose a multivariate coherence clustering algorithm. The performance will be gauged through real data analysis and simulations under different conditions and parameters. We look forward to have a good result of multivariate time series clustering.
|
author2 |
Lin Tsair-Chuan |
author_facet |
Lin Tsair-Chuan Kao Chien 高謙 |
author |
Kao Chien 高謙 |
spellingShingle |
Kao Chien 高謙 A coherence-based approach for clustering of multivariate time series |
author_sort |
Kao Chien |
title |
A coherence-based approach for clustering of multivariate time series |
title_short |
A coherence-based approach for clustering of multivariate time series |
title_full |
A coherence-based approach for clustering of multivariate time series |
title_fullStr |
A coherence-based approach for clustering of multivariate time series |
title_full_unstemmed |
A coherence-based approach for clustering of multivariate time series |
title_sort |
coherence-based approach for clustering of multivariate time series |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/93694372807790807171 |
work_keys_str_mv |
AT kaochien acoherencebasedapproachforclusteringofmultivariatetimeseries AT gāoqiān acoherencebasedapproachforclusteringofmultivariatetimeseries AT kaochien lìyòngcoherencefēnxīyúduōbiànliàngshíjiānxùlièzīliàozhīfēnqún AT gāoqiān lìyòngcoherencefēnxīyúduōbiànliàngshíjiānxùlièzīliàozhīfēnqún AT kaochien coherencebasedapproachforclusteringofmultivariatetimeseries AT gāoqiān coherencebasedapproachforclusteringofmultivariatetimeseries |
_version_ |
1718057793277132800 |