The Forward Search (FS) is a general methodology developed to disclose hidden patterns or potential anomalies in data. Its standard application requires the knowledge of a starting data matrix, but in several situations it could be not available. This problem arises particularly when proximity data are involved. In this work, we propose a method to extend the FS to a specific kind of proximities, i.e. dissimilarity measures which can be organized in square symmetric matrices.
Solaro, N. (2011). The forward search for proximity data. In CLADAG 2011 - Book of Abstracts. Pavia : Pavia University Press, Editoria Scientifica.
The forward search for proximity data
SOLARO, NADIA
2011
Abstract
The Forward Search (FS) is a general methodology developed to disclose hidden patterns or potential anomalies in data. Its standard application requires the knowledge of a starting data matrix, but in several situations it could be not available. This problem arises particularly when proximity data are involved. In this work, we propose a method to extend the FS to a specific kind of proximities, i.e. dissimilarity measures which can be organized in square symmetric matrices.
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