New descriptors of textual records: Getting help from frequent itemsets
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In this paper, we implemented a platform named \IDETEX" capable of extracting itemsets from textual data and using it for the experimentation in different types of clustering methods, such as K-Medoids and Hierarchical clustering. The experiments conducted demonstrate the potential of the proposed approach for de¯ning similarity between segments.
Nội dung trích xuất từ tài liệu:
New descriptors of textual records: Getting help from frequent itemsets
Nội dung trích xuất từ tài liệu:
New descriptors of textual records: Getting help from frequent itemsets
Tìm kiếm theo từ khóa liên quan:
Journal of Computer science New descriptors of textual records Getting help from frequent itemsets Frequent itemsets Ascending hierarchical clusterinGợi ý tài liệu liên quan:
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