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Skarmeta et al., 2000 - Google Patents

Data mining for text categorization with semi‐supervised agglomerative hierarchical clustering

Skarmeta et al., 2000

Document ID
8162826137659765742
Author
Skarmeta A
Bensaid A
Tazi N
Publication year
Publication venue
International Journal of Intelligent Systems

External Links

Snippet

In this paper we study the use of a semi‐supervised agglomerative hierarchical clustering (ssAHC) algorithm to text categorization, which consists of assigning text documents to predefined categories. ssAHC is (i) a clustering algorithm that (ii) uses a finite design set of …
Continue reading at onlinelibrary.wiley.com (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705—Clustering or classification
    • G06F17/3071—Clustering or classification including class or cluster creation or modification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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