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eTURF: A competitive TURF algorithm for large datasets

✍ Scribed by John M. Ennis; Charles M. Fayle; Daniel M. Ennis


Book ID
116487643
Publisher
Elsevier Science
Year
2012
Tongue
English
Weight
288 KB
Volume
23
Category
Article
ISSN
0950-3293

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Clustering is a widely used technique in data mining applications for discovering patterns in underlying data. Most traditional clustering algorithms are limited to handling datasets that contain either numeric or categorical attributes. However, datasets with mixed types of attributes are common in