We present an algorithmic scheme for unsupervised cluster ensembles, based on randomized projections between metric spaces, by which a substantial dimensionality reduction is obtai...
Abstract— In this paper, a new method of representing twodimensional shapes using fuzzy-symbolic features and a similarity measure defined over fuzzy-symbolic features useful for...
A similarity measure is described that does not require the prior specification of features or the need for training sets of representative data. Instead large numbers of feature...
In this paper we propose two methods to derive two different kinds of node similarities in a network based on their neighborhood. The first similarity measure focuses on the overla...
Given an ordered labeled forest F ("the target forest") and an ordered labeled forest G ("the pattern forest"), the most similar subforest problem is to find a ...