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Tanaka et al., 1999 - Google Patents

An efficient document clustering algorithm and its application to a document browser

Tanaka et al., 1999

Document ID
13882843977441797647
Author
Tanaka H
Kumano T
Uratani N
Ehara T
Publication year
Publication venue
Information processing & management

External Links

Snippet

We present an efficient document clustering algorithm that uses a term frequency vector for each document instead of using a huge proximity matrix. The algorithm has the following features:(1) it requires a relatively small amount of memory and runs fast,(2) it produces a …
Continue reading at www.sciencedirect.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
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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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