The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
Mark K. Goldberg, Mykola Hayvanovych, Malik Magdon...
When knowledge in each agent is represented by an ontology of concepts and relations, concept communication can not be fulfilled through exchanging concepts (ontology nodes). Inste...
In this paper, we propose a set of similarity metrics for manipulating collections of values occuring in XML documents. Following the data model presented in TAX algebra, we treat...
Carina F. Dorneles, Carlos A. Heuser, Andrei E. N....
Microprocessor vendors have provided special-purpose instructions such as psadbw and pdist to accelerate the sumof-absolute differences (SAD) similarity measurement. The usefulne...
Asadollah Shahbahrami, Ben H. H. Juurlink, Stamati...
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-...