Two-Step Modified SOM for Parallel Calculation

Provided by: RWTH Aachen University
Topic: Hardware
Format: PDF
In this paper, the authors presents a simple modification of classic Kohonen network Self-Organizing Map (SOM), which allows parallel processing of input data vectors or partitioning the problem in case of insufficient memory for all vectors from the training set. The algorithm pre-selects potential centroids of data clusters and uses them as weight vectors in the final SOM network. They have demonstrated the usage of this algorithm on images as well as on two well-known datasets representing handwritten digits.

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