K-Means Algorithm, Influenza Transmission, Cluster Analysis, Urban Characteristics Share and Cite: Ye, S. (2025) Application ...

K-means algorithm is one of the basic and most simple partitioning clustering technique is given by the researchers and aim of this clustering algorithm is to divide the dataset into disjoint ...

In this paper, the authors contain a partitional based algorithm for clustering high-dimensional objects in subspaces for iris gene dataset. In high dimensional data, clusters of objects often ...