DocumentCode
2634604
Title
Clustering of automobile information using self organizing maps
Author
Dalal, Pallavi R. ; Joshi-lnamdar, Vandana
Author_Institution
Gov. Eng. Coll., Pune, India
Volume
4
fYear
2003
fDate
15-17 Oct. 2003
Firstpage
1267
Abstract
This work develops methodology for clustering automobile related collection of documents. The work implements the system that organizes vast document collection according to textual similarity. It uses neural network approach to cluster collection of data, based on Kohonen´s self-organizing maps (SOM ) which is unsupervised competitive method of learning.
Keywords
automobile industry; pattern clustering; self-organising feature maps; text analysis; unsupervised learning; automobile information; clustering; learning; neural network approach; self organizing maps; text semantics; textual similarity; Automobiles; Clustering algorithms; Data analysis; Data mining; Databases; Educational institutions; Neurons; Self organizing feature maps; Vehicle safety; Web sites;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region
Print_ISBN
0-7803-8162-9
Type
conf
DOI
10.1109/TENCON.2003.1273119
Filename
1273119
Link To Document