Analysis of Inter Cluster Migration Estimation (ICME) model in multidimensional clusters

Abstract: Clustering evolves as an indigenous unsupervised data mining problem. This paper presents an estimation model, when new unclustered information is fed to the clustered system. The soul of this paper is to test the accuracy of the built Inter Cluster Movement Estimation (ICME) model with multi-dimensional clusters. Clusters of varying sizes and dimensions were constructed from synthetic and real data sets taken from UCI repository. On experimental analysis, the accuracy of the approximation model is found to increase with increased cluster sizes of multiple dimensions.

Keywords: Cluster parameters, Estimation model, Inter cluster movement, Multi-dimensional data set