A frequently recurring problem in several applications is to compare two or more data sets and evaluate the level of similarity. In this paper we describe a technique to compare two data partitions of different data sets. The comparison is obtained by means of matrices called Graph Adjacency Matrices which represent the data sets. Then, a match coefficient returns an estimation of the level of similarity between the data sets.

Graph Adjacency Matrix Associated with a Data Partition / Acciani, Giuseppe; G., Fornarelli; L., Liturri. - LNCS 3044:(2004), pp. 979-987. (Intervento presentato al convegno International Conference on Computational Science and Its Applications, ICSSA 2004 tenutosi a Assisi, Italy nel May 14-17, 2004).

Graph Adjacency Matrix Associated with a Data Partition

ACCIANI, Giuseppe;
2004-01-01

Abstract

A frequently recurring problem in several applications is to compare two or more data sets and evaluate the level of similarity. In this paper we describe a technique to compare two data partitions of different data sets. The comparison is obtained by means of matrices called Graph Adjacency Matrices which represent the data sets. Then, a match coefficient returns an estimation of the level of similarity between the data sets.
2004
International Conference on Computational Science and Its Applications, ICSSA 2004
3-540-22056-9
Graph Adjacency Matrix Associated with a Data Partition / Acciani, Giuseppe; G., Fornarelli; L., Liturri. - LNCS 3044:(2004), pp. 979-987. (Intervento presentato al convegno International Conference on Computational Science and Its Applications, ICSSA 2004 tenutosi a Assisi, Italy nel May 14-17, 2004).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/14478
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