Tag: K-Means++

Introduction: What is K-Means Clustering? K-Means Clustering is one of the simplest and most popular unsupervised machine learning algorithms used for partitioning a dataset into a predefined number of clusters (K). The algorithm iteratively assigns data points to clusters based on similarity, minimizing intra-cluster variance. In essence, K-Means helps discover hidden patterns or groupings in… Read more