Details

Autor(en) / Beteiligte

• Weiss, Sholom M.
• White, Brian F.
• Apte, Chidanand V.

Titel

Lightweight Document Clustering

Ist Teil von

• Lecture notes in computer science, 2000, p.665-672

Ort / Verlag

Berlin, Heidelberg: Springer Berlin Heidelberg

Erscheinungsjahr

2000

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• A lightweight document clustering method is described that operates in high dimensions, processes tens of thousands of documents and groups them into several thousand clusters, or by varying a single parameter, into a few dozen clusters. The method uses a reduced indexing view of the original documents, where only the k best keywords of each document are indexed. An effcient procedure for clustering is speci fied in two parts (a) compute k most similar documents for each document in the collection and (b) group the documents into clusters using these similarity scores. The method has been evaluated on a database of over 50,000 customer service problem reports that are reduced to 3,000 clusters and 5,000 exemplar documents. Results demonstrate effcient clustering performance with excellent group similarity measures.