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Data analysis / Information retrieval / Data mining / Carrot2 / Cluster analysis / Non-negative matrix factorization / Vector space model / Dimension reduction / Document clustering / Statistics / Multivariate statistics / Machine learning


DIMENSIONALITY REDUCTION TECHNIQUES FOR SEARCH RESULTS CLUSTERING by STANISŁAW OSIŃSKI Supervisor
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Document Date: 2015-01-09 08:48:15

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File Size: 1,47 MB

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City

Sheffield / /

Company

BBC / /

Country

United Kingdom / /

Facility

Computer Science The University of Sheffield / /

IndustryTerm

search results clustering algorithm / on-line search engine / Numerical clustering algorithms / description-comes-first search results clustering algorithm / search clustering engine / search engines / iterative improvement algorithms / dimensionality reduction algorithm / so-called web search engines / Online Clustering / Web Search Problem / web search / example web query / search results clustering tasks / search results clustering process / web shopping search engine / low precision search / web catalogue / search engine / search results / web queries / be implemented using iterative improvement algorithms / /

Organization

University of Sheffield / Advanced Software Engineering Department / /

Person

Lee / YOSHI GOTOH / Seung / /

Position

author / STANISŁAW OSIŃSKI Supervisor / /

ProgrammingLanguage

Java / HTML / /

RadioStation

BBC Radio Sheffield / /

Technology

iterative improvement algorithms / Euclidean Distance NMF algorithm / Java / search results clustering algorithm / clustering algorithm / Artificial Intelligence algorithms / dimensionality reduction algorithm / search engine / Numerical clustering algorithms / HTML / classic K-Means algorithm / /

URL

http /

SocialTag