Scalable parallel algorithm for self-organizing maps with applications to sparse data mining problems

摘要

A method and apparatus for retrieving and organizing data using a self-organizing map in a parallel transaction data base system. With this invention, input records of data are represented as n dimensional vectors. Each of these vectors then compressed by eliminating zeros in the components of these vectors. Then, the self-organizing map algorithm is applied to the compressed input records to group the records into a number of clusters, where each cluster comprises a number of records having common input parameters.