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Erschienen in:
2001 | OriginalPaper | Buchkapitel
A Dissimilarity Measure between Probabilistic Symbolic Objects
verfasst von : Laura Bocci
Erschienen in: Advances in Classification and Data Analysis
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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This paper presents an approach to calculate the dissimilarity between probabilistic symbolic objects. The proposed dissimilarity measure is based on both a comparison function and an aggregation function. Comparison function is a proximity coefficient based on statistical information given by each probabilistic elementary event. The aggregation function is a proximity index, related to Minkowski measure, which aggregates the results given by comparison functions.