By Adán José-García Discovering the number of clusters (k) in a dataset is a fundamental problem in data clustering or cluster analysis. Clustering is an unsupervised learning technique aiming to discover the natural partition of data objects into clusters. Clustering algorithms can be broadly divided into two groups: hierarchical and partitional. Both categories of clustering algorithms, i.e., k-means and single-link algorithms, require as input the … Continue reading Determining the Number of Clusters