Self organization of a massive document collection

T Kohonen, S Kaski, K Lagus, J Salojarvi… - IEEE transactions on …, 2000 - ieeexplore.ieee.org
Describes the implementation of a system that is able to organize vast document collections
according to textual similarities. It is based on the self-organizing map (SOM) algorithm. As …

Self-organization of very large document collections: State of the art

T Kohonen - ICANN 98: Proceedings of the 8th International …, 1998 - Springer
Abstract The Self-Organizing Map (SOM) forms a nonlinear projection from a high-
dimensional data manifold onto a low-dimensional grid. A representative model of some …

WEBSOM–self-organizing maps of document collections

S Kaski, T Honkela, K Lagus, T Kohonen - Neurocomputing, 1998 - Elsevier
With the WEBSOM method a textual document collection may be organized onto a graphical
map display that provides an overview of the collection and facilitates interactive browsing …

Text classification with self-organizing maps: Some lessons learned

D Merkl - Neurocomputing, 1998 - Elsevier
The self-organizing map has already found appreciation for document classification in the
information retrieval community. The map display is a highly effective and intuitive metaphor …

The growing hierarchical self-organizing map

M Dittenbach, D Merkl, A Rauber - Proceedings of the IEEE …, 2000 - ieeexplore.ieee.org
We present the growing hierarchical self-organizing map. This dynamically growing neural
network model evolves into a hierarchical structure according to the requirements of the …

Self-organizing maps of very large document collections: Justification for the WEBSOM method

T Honkela, S Kaski, T Kohonen, K Lagus - … of Potsdam, March 12–14, 1997, 1998 - Springer
Powerful methods are needed for interactive exploration and search from collections of
miscellaneous textual documents that are available in the electronic media. Searching from …

[PDF][PDF] Self-Organizing Maps of Document Collections: A New Approach to Interactive Exploration.

K Lagus, T Honkela, S Kaski, T Kohonen - KDD, 1996 - cdn.aaai.org
Powerful methods for interactive exploration and search from collections of free-form textual
documents are needed to manage the ever-increasing flood of digital information. In this …

WEBSOM for textual data mining

K Lagus, T Honkela, S Kaski, T Kohonen - Artificial Intelligence Review, 1999 - Springer
New methods that are user-friendly and efficient are needed for guidanceamong the masses
of textual information available in the Internet and theWorld Wide Web. We have developed …

Exploration of very large databases by self-organizing maps

T Kohonen - Proceedings of international conference on neural …, 1997 - ieeexplore.ieee.org
This paper describes a data organization system and genuine content-addressable memory
called the WEBSOM. It is a two-layer self-organizing map (SOM) architecture where …

Self-organizing semantic maps

H Ritter, T Kohonen - Biological cybernetics, 1989 - Springer
Self-organized formation of topographic maps for abstract data, such as words, is
demonstrated in this work. The semantic relationships in the data are reflected by their …