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SOCIALCOM
2010
13 years 5 months ago
Measuring Similarity between Sets of Overlapping Clusters
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...
NLDB
2004
Springer
14 years 23 days ago
Concept Similarity Measures the Understanding Between Two Agents
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...
Jesus M. Olivares-Ceja, Adolfo Guzmán-Arena...
WIDM
2004
ACM
14 years 25 days ago
Measuring similarity between collection of values
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....
CASES
2006
ACM
14 years 1 months ago
Limitations of special-purpose instructions for similarity measurements in media SIMD extensions
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...
BMCBI
2007
135views more  BMCBI 2007»
13 years 7 months ago
Measuring similarities between gene expression profiles through new data transformations
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-...