A robust Hidden Markov Model based clustering algorithm

Hidden Markov models (HMMs) are widely employed in sequential data modeling both because they are capable of handling multivariate data of varying length, and because they capture the underlying hidden properties of time-series. Over the years, HMM-based clustering methods have been widely investiga...

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Veröffentlicht in:	2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference Jg. 2; S. 259 - 264
1. Verfasser:	Shitong Yao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2011
Schlagworte:	Accuracy Algorithm design and analysis Clustering algorithms Computational modeling Fisher Kernel Hidden Markov models HMM Kernel Noise Spectral Clustering
ISBN:	142448622X, 9781424486229
Online-Zugang:	Volltext
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