Hierarchic Document Clustering Using Ward's Method.
Abdelmoula El-Hamdouchi, Peter Willett:
Hierarchic Document Clustering Using Ward's Method.
SIGIR 1986: 149-156@inproceedings{DBLP:conf/sigir/El-HamdouchiW86,
author = {Abdelmoula El-Hamdouchi and
Peter Willett 0002},
title = {Hierarchic Document Clustering Using Ward's Method},
booktitle = {SIGIR'86, Proceedings of the 9th Annual International ACM SIGIR
Conference on Research and Development in Information Retrieval,
Pisa, Italy, September 8-10, 1986},
publisher = {ACM},
year = {1986},
pages = {149-156},
ee = {db/conf/sigir/El-HamdouchiW86.html},
crossref = {DBLP:conf/sigir/86},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Abstract
In this paper, we discuss the application of a recent hierarchic clustering algorithm to the automatic
classification of files of documents. Whereas most hierarchic clustering algorithms involve the
generation and updating of an inter-object dissimilarity matrix, this new algorithm is based upon a
series of nearest neighbor searches. Such an approach is appropriate to several clustering methods,
including Ward's method which has been shown to perform well in experimental studies of hierarchic
document clustering. A description is given of heuristics which can increase the efficiency of the new
algorithm when it is used to cluster three document collections by Ward's method.
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SIGIR'86, Proceedings of the 9th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Pisa, Italy, September 8-10, 1986.
ACM 1986
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