Fuzzy optimized self-organizing maps and their application to document clustering
In this paper, an approach using fuzzy logic techniques and self-organizing maps (SOM) is
presented in order to manage conceptual aspects in document clusters and to reduce the
training time. In order to measure the presence degree of a concept in a document, a
concept frequency formula is introduced. This formula is based on new fuzzy formulas to
calculate the polysemy degree of terms and the synonymy degree between terms. In this
approach, new fuzzy improvements such as automatic choice of the topology, heuristic map …
presented in order to manage conceptual aspects in document clusters and to reduce the
training time. In order to measure the presence degree of a concept in a document, a
concept frequency formula is introduced. This formula is based on new fuzzy formulas to
calculate the polysemy degree of terms and the synonymy degree between terms. In this
approach, new fuzzy improvements such as automatic choice of the topology, heuristic map …
[PDF][PDF] Fuzzy optimized self-organizing maps and their application to document clustering
ASĘJA Olivas, ĘJ Serrano-Guerrero - academia.edu
In this paper, an approach using fuzzy logic techniques and self-organizing maps (SOM) is
presented in order to manage conceptual aspects in document clusters and to reduce the
training time. In order to measure the presence degree of a concept in a document, a
concept frequency formula is introduced. This formula is based on new fuzzy formulas to
calculate the polysemy degree of terms and the synonymy degree between terms. In this
approach, new fuzzy improvements such as automatic choice of the topology, heuristic map …
presented in order to manage conceptual aspects in document clusters and to reduce the
training time. In order to measure the presence degree of a concept in a document, a
concept frequency formula is introduced. This formula is based on new fuzzy formulas to
calculate the polysemy degree of terms and the synonymy degree between terms. In this
approach, new fuzzy improvements such as automatic choice of the topology, heuristic map …
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