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.