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HIERARCHIC DOCUMENT CLUSTERING USING WARD'S METHOD A. EL-HAUDOUCHI and P. WILLETT
| Content Provider | Semantic Scholar |
|---|---|
| Author | Willett, Peter |
| Copyright Year | 1999 |
| Abstract | In this paper, we discuss the application of a recent hierarchic clustering algorittxn to the autanatic classification of files of documents. Whereas most hierarchic clustering algorithms involve the generation and updating of an interobject dissimilarity matrix, this new algorittxn is based upon a series of nearest neightour searches. Such an approach is appropriate to sev era1 clustering methods, including Ward's method which has been shown to perform well in experimental studies of hierarchic docunent clustering. A desoriptlon is given of heuristics which can increase the efficiency of the new'algorittxa when it is used to cluster three docunent collections by Ward's method. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://widit.slis.indiana.edu/irpub/SIGIR/1986/pdf18.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
