This paper analyzes the functionality of dif- ferent distance metrics that can be used in a bottom-up unsupervised algorithm for au- tomatic word ...

This paper analyzes the functionality of dif- ferent distance metrics that can be used in a bottom-up unsupervised algorithm for au- tomatic word ...

This paper analyzes the functionality of different distance metrics that can be used in a bottom-up unsupervised algorithm for automatic word categorization ...

This paper analyzes the functionality of dif- ferent distance metrics that can be used in a bottom-up unsupervised algorithm for au- tomatic word ...

AbstraCt. This paper analyzes the functionality of dif- ferent distance metrics that can be used in a bottom-up unsupervised algorithm for au- tomatic word ...

This paper analyzes the functionality of different distance metrics that can be used in a bottom-up unsupervised algorithm for automatic word categorization ...

This paper analyzes the functionality of dif- ferent distance metrics that can be used in a bottom-up unsupervised algorithm for automatic word ...

Abstract Clustering is an optimization procedure that partitions a set of elements to optimize some criteria, based on a fixed distance metric defined ...

CHOOSING A DISTANCE METRIC FOR AUTOMATIC WORD CATEGORIZATION. Emin Erkan Korkmaz | Gokturk Ucoluk |. Paper Details: Year: 1998. Venue: CoNLL | WS |

CHOOSING A DISTANCE METRIC FOR AUTOMATIC WORD CATEGORIZATION. Author. Korkmaz, Emin Erkan and Ucoluk, Gokturk. Conference. New Methods in Language Processing ...