KMEANS CLUSTERING FOR HIDDEN MARKOV MODEL
Michael Perrone, Scott D. Connell · University of Groningen research database (University of Groningen / Centre for Information Technology) · 2004
An unsupervised kmeans clustering algorithm for hidden Markov models is described and applied to the task of generating subclass models for individual handwritten character classes. The algorithm is compared to a related clustering method and shown to give a relative change in the error rate of as much as 8% on a 30,000word vocabulary, unconstrained style, online, writerindependent handwriting recognition t