Machine Learning, Artificial Intelligence, Technology, Python, Data Science.
algorithm that aims to partition the data into K clusters, with each data point assigned to the nearest centroid. It works well for evenly distributed, spherical clusters and requires the number of clusters to be specified in advance. - Hierarchical clustering builds a hierarchy of clusters by