Abstract
An experimental term selection strategy for document visualization is described. Strong discriminators with few co-occurrences increase the clustering tendency of low-dimensional document browsing spaces. Clustering tendency is tested with diagnostic measures adapted from the field of cluster analysis, and confirmed using the VIBE visualization tool. This method supports browsing in high recall, low precision document retrieval and classification tasks.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 199-204 |
| Number of pages | 6 |
| Journal | SIGIR Forum (ACM Special Interest Group on Information Retrieval) |
| DOIs | |
| State | Published - 1995 |
| Externally published | Yes |
| Event | Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval - Seattle, WA, USA Duration: Jul 9 1995 → Jul 13 1995 |
ASJC Scopus subject areas
- Management Information Systems
- Hardware and Architecture