Internal Validation measures for Data Streams Mining Algorithms Between Micro-Clusters

Clustering data streams has become very important method for data mining and warehousing. A common technique for evaluation of micro-clustering results is to use validity measures. In this paper we evaluate Internal measures namely SSQ, Silhoutte, average. between, average. within, max.diameter, ave.within.cluster.ss,g2,pearsongamma,dunn,dunn 2,entropy,wb.ratio are evaluate Data Stream mining Algorithms. This paper describes DBSTREAM, CluStream, Den Stream, D-Stream, D-Stream + Attraction the reclustering offline clustering process between micro clusters with different radius fixation.