KMeans Clustering

K-Means Clustering

K-Means is an unsupervised machine learning algorithm that partitions a dataset into K clusters by iteratively assigning points to the nearest cluster centroid…

K-Nearest Neighbors

K-Nearest Neighbors (KNN) is a simple, non-parametric supervised learning algorithm that classifies or predicts a new data point based on the majority label or…

k-Means Clustering

An unsupervised algorithm that partitions data into k groups by iteratively assigning points to the nearest centroid and recomputing centroids until convergenc…

K-Means Clustering Cheat Sheet

A reference for K-Means clustering covering scikit-learn implementation, centroid initialization, the elbow method, and silhouette scoring for choosing k.