Clustering of automobile information using self organizing maps

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.