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Hierarchical K-means is an important clustering method that is widely applied in different applications such as wireless networks, data mining and image processing. Now this method can be applied in very large scale integration (VLSI) domain. It is the process of creating an integrated circuit. This new approach can be determined initial from the centroid for k-means. The hierarchical clustering is most preferable because of flexibility. In this paper a Hierarchical Kmeans clustering (NHK)doi:10.33564/ijeast.2020.v05i03.109 fatcat:qc2ihuiugrevdmvfbfxqnokvpm