Comparative Analysis of Hierarchical Merging and Non-hierarchical Clustering

This paper is an overview to make cluster analysis for grouping between objects with similar properties, but it is not determined the number of communities with algorithms for clustering in advance. As gradually starting a pre-specified number of hierarchical clustering, it is starting with one of the data by merge with other data. The data will be described for non-hierarchical clustering method that belongs to according to a similar property. In the experiment it is applied a merging algorithm and k- means algorithm of non-hierarchical method. Also hierarchical method described previously with experimental data is compared the characteristics. To evaluate the performance of the algorithm of the two-way through the experiment results, the two kinds of algorithms are analyzed.