Title :
Clustering of automobile information using self organizing maps
Author :
Dalal, Pallavi R. ; Joshi-lnamdar, Vandana
Author_Institution :
Gov. Eng. Coll., Pune, India
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;
Conference_Titel :
TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region
Print_ISBN :
0-7803-8162-9
DOI :
10.1109/TENCON.2003.1273119
