Abstract
As digital music collections grow the necessity to organize
them (preferably automatically) increases. In this paper we present an
approach to hierarchically structure artists automatically according to
their similarity and to describe these clusters with words. The approach
is based on a web search engine (Google), standard text retrieval tech-
niques, term selection (using domain knowledge), and hierarchical clus-
tering with fuzzy boundaries. We present the results and discuss short-
comings of different variations.
| Original language | English |
|---|---|
| Title of host publication | In Proceedings of the 9th European Conference on Research and Advanced Technology for Digital Libraries (ECDL 2005), Vienna, Austria |
| Number of pages | 12 |
| Publication status | Published - 2005 |
Fields of science
- 102 Computer Sciences
- 102001 Artificial intelligence
- 102003 Image processing
- 102015 Information systems
- 202002 Audiovisual media
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