Cluster-Computer Based Incremental and Distributed RSOM Data-Clustering
YU Wen-xian · Dianzi xuebao · 2007
For large data-set with high dimensionality,of which the numbers of samples and patterns increase dynamically,in roder to improve the computing-efficiency,it is necessary to design parallel incremental clustering algorithm.Noticing the nature of the human brain-an incremental studying style,and the hierarchical and distributed structure properties of a RSOM tree,a Cluster-computer system based incremental and distributed parallel algorithm of RSOM tree is proposed.The performance of this method is tested with the large feature data sets which are extracted from a large amount of video pictures.