A comparative study of centroid-based, neighborhood-based and statistical approaches for effective document categorization

Proceedings - International Conference on Pattern Recognition

Saved in:
Bibliographic Details
Main Authors: Tam, V., Santoso, A., Setiono, R.
Other Authors: INFORMATION SYSTEMS
Format: Conference or Workshop Item
Published: 2013
Online Access:http://scholarbank.nus.edu.sg/handle/10635/42622
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
id sg-nus-scholar.10635-42622
record_format dspace
spelling sg-nus-scholar.10635-426222015-01-17T06:02:04Z A comparative study of centroid-based, neighborhood-based and statistical approaches for effective document categorization Tam, V. Santoso, A. Setiono, R. INFORMATION SYSTEMS Proceedings - International Conference on Pattern Recognition 16 4 235-238 PICRE 2013-07-11T10:13:56Z 2013-07-11T10:13:56Z 2002 Conference Paper Tam, V.,Santoso, A.,Setiono, R. (2002). A comparative study of centroid-based, neighborhood-based and statistical approaches for effective document categorization. Proceedings - International Conference on Pattern Recognition 16 (4) : 235-238. ScholarBank@NUS Repository. 10514651 http://scholarbank.nus.edu.sg/handle/10635/42622 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
description Proceedings - International Conference on Pattern Recognition
author2 INFORMATION SYSTEMS
author_facet INFORMATION SYSTEMS
Tam, V.
Santoso, A.
Setiono, R.
format Conference or Workshop Item
author Tam, V.
Santoso, A.
Setiono, R.
spellingShingle Tam, V.
Santoso, A.
Setiono, R.
A comparative study of centroid-based, neighborhood-based and statistical approaches for effective document categorization
author_sort Tam, V.
title A comparative study of centroid-based, neighborhood-based and statistical approaches for effective document categorization
title_short A comparative study of centroid-based, neighborhood-based and statistical approaches for effective document categorization
title_full A comparative study of centroid-based, neighborhood-based and statistical approaches for effective document categorization
title_fullStr A comparative study of centroid-based, neighborhood-based and statistical approaches for effective document categorization
title_full_unstemmed A comparative study of centroid-based, neighborhood-based and statistical approaches for effective document categorization
title_sort comparative study of centroid-based, neighborhood-based and statistical approaches for effective document categorization
publishDate 2013
url http://scholarbank.nus.edu.sg/handle/10635/42622
_version_ 1681082646705209344