Title :
Clustering of Words from Czech Written Documents Using GHSOM
Author :
Roman Moucek;Pavel Mautner
Author_Institution :
Dept. of Comput. Sci. &
Abstract :
The paper focuses on possibilities of improving categorization of words from input collection of Czech written documents into syntactic categories using the Growing Hierarchical Self-Organizing Map (GHSOM). Clustering on two document collections is presented, results of GHSOM and WEBSOM are compared. The modified GHSOM is introduced.
Keywords :
"Syntactics","Context","Semantics","Training","Quantization","Self organizing feature maps","Computer architecture"
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Print_ISBN :
978-1-4244-9247-3
Electronic_ISBN :
2155-6091
DOI :
10.1109/GCIS.2010.191
