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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Bibliographic Details

Published in:	2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference Vol. 2; pp. 259 - 264
Main Author:	Shitong Yao
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.08.2011
Subjects:	Accuracy Algorithm design and analysis Clustering algorithms Computational modeling Fisher Kernel Hidden Markov models HMM Kernel Noise Spectral Clustering
ISBN:	142448622X, 9781424486229
Online Access:	Get full text
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