Using Self-organizing Maps to Organize Document Archives and to Characterize Subject Matters: How to Make a Map Tell the News of the World
- 1 January 1999
- book chapter
- Published by Springer Nature
- p. 302-311
- https://doi.org/10.1007/3-540-48309-8_28
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- En route to data mining in legal text corpora: clustering, neural computation, and international treatiesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Automatic Labeling of Self-Organizing Maps: Making a Treasure-Map Reveal Its SecretsPublished by Springer Nature ,1999
- Using maps as a user interface to a digital libraryPublished by Association for Computing Machinery (ACM) ,1998
- Self-Organizing Maps of Large Document CollectionsPublished by Springer Nature ,1998
- Cluster Connections: A visualization technique to reveal cluster boundaries in self-organizing mapsPublished by Springer Nature ,1998
- Creating an Order in Distributed Digital Libraries by Integrating Independent Self-Organizing MapsPublished by Springer Nature ,1998
- CIA's view of the world and what neural networks learn from it: A comparison of geographical document space representation metaphorsPublished by Springer Nature ,1998
- Exploration of document collections with self-organizing maps: A novel approach to similarity representationPublished by Springer Nature ,1997
- Self-Organizing MapsPublished by Springer Nature ,1995
- A self-organizing semantic map for information retrievalPublished by Association for Computing Machinery (ACM) ,1991