K-means Clustering: An Introductory Guide and Practical Application | by Kurt Klingensmith | Jan, 2023
Cars of varying engine types, sizes, and weights. Photograph by author.Using clustering algorithms such as K-means is one of the most popular starting points for machine learning. K-means clustering is an unsupervised machine learning technique that sorts similar data into groups, or clusters. Data within a specific cluster bears a higher degree of commonality amongst observations within the cluster than it does with observations outside of the cluster.The K in K-means represents the user-defined k-number of clusters.…