Back to Results
First PageMeta Content
Information retrieval / Multivariate statistics / Natural language processing / Document clustering / Biclustering / Graph partition / Vector space model / K-means clustering / Search engine indexing / Statistics / Information science / Cluster analysis


Co-clustering documents and words using Bipartite Spectral Graph Partitioning Inderjit S. Dhillon Department of Computer Sciences University of Texas, Austin, TX 78712
Add to Reading List

Document Date: 2003-01-30 00:19:46


Open Document

File Size: 147,34 KB

Share Result on Facebook

City

San Francisco / Santa Monica / London / /

Company

IBM / SIAM Journal / McGraw-Hill Book Company / System Development Corporation / Johns Hopkins University Press / Medline / GE / Yahoo / Reuters / John Wiley & Sons / W. H. Freeman & Company / Computer Sciences / /

Currency

USD / /

/

Facility

Cornell University / University of Minnesota / Computer Sciences University of Texas / K. M. Hall / /

IndustryTerm

r-dimensional quadratic placement algorithm / spectral co-clustering algorithm / Web using WebACE / good global solutions / spherical k-means algorithm / Web Search / on-line clustering / web-page clustering / spectral algorithm / /

Organization

Johns Hopkins University / University of Minnesota / Cornell University / Pattern Analysis and Machine Intelligence / University of Texas / /

Person

G. Karypis / V / R. O. Duda / /

/

Position

Prime Minister / using Porter / /

ProvinceOrState

Minnesota / California / /

PublishedMedium

The Bell System Technical Journal / Machine Learning / Mathematical Journal / /

Technology

spectral algorithm / r-dimensional quadratic placement algorithm / spectral co-clustering algorithm / Data Mining / Machine Learning / HTML / spherical k-means algorithm / CAD / /

SocialTag