User Feedback-Driven Document Clustering Technique for Information Organization
Summary :
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes documents into groups based only on similarity measures. In this paper, we attempt to isolate more semantically coherent clusters by employing the domain-specific knowledge provided by a document analyst. By using external human knowledge to guide the clustering mechanism with some flexibility when creating the clusters, clustering efficiency can be considerably enhanced. Experimental results show that the use of only a little external knowledge can considerably enhance the quality of clustering results that satisfy users' constraint.
- Publication
- IEICE TRANSACTIONS on Information Vol.E85-D No.6 pp.1043-1048
- Publication Date
- 2002/06/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Databases
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Han-joon KIM, Sang-goo LEE, "User Feedback-Driven Document Clustering Technique for Information Organization" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 6, pp. 1043-1048, June 2002, doi: .
Abstract: This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes documents into groups based only on similarity measures. In this paper, we attempt to isolate more semantically coherent clusters by employing the domain-specific knowledge provided by a document analyst. By using external human knowledge to guide the clustering mechanism with some flexibility when creating the clusters, clustering efficiency can be considerably enhanced. Experimental results show that the use of only a little external knowledge can considerably enhance the quality of clustering results that satisfy users' constraint.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_6_1043/_p
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@ARTICLE{e85-d_6_1043,
author={Han-joon KIM, Sang-goo LEE, },
journal={IEICE TRANSACTIONS on Information},
title={User Feedback-Driven Document Clustering Technique for Information Organization},
year={2002},
volume={E85-D},
number={6},
pages={1043-1048},
abstract={This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes documents into groups based only on similarity measures. In this paper, we attempt to isolate more semantically coherent clusters by employing the domain-specific knowledge provided by a document analyst. By using external human knowledge to guide the clustering mechanism with some flexibility when creating the clusters, clustering efficiency can be considerably enhanced. Experimental results show that the use of only a little external knowledge can considerably enhance the quality of clustering results that satisfy users' constraint.},
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - User Feedback-Driven Document Clustering Technique for Information Organization
T2 - IEICE TRANSACTIONS on Information
SP - 1043
EP - 1048
AU - Han-joon KIM
AU - Sang-goo LEE
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2002
AB - This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes documents into groups based only on similarity measures. In this paper, we attempt to isolate more semantically coherent clusters by employing the domain-specific knowledge provided by a document analyst. By using external human knowledge to guide the clustering mechanism with some flexibility when creating the clusters, clustering efficiency can be considerably enhanced. Experimental results show that the use of only a little external knowledge can considerably enhance the quality of clustering results that satisfy users' constraint.
ER -
English
