GitHub’s open-source Spec Kit formalizes spec-driven development for AI coding agents by providing a CLI, templates, and prompts that move work through specification, plan, tasks, and implementation, ...

This project implements the k-Means Clustering algorithm in Python for clustering datasets with arbitrary features and cluster counts. It includes two versions: k-Means for 2 features with k=2 ...

Computation application for the k-means algorithm is an unsupervised clustering technique that organizes data into clusters based on similarity. It iteratively assigns data points to centroids and ...

K-means is a commonly used algorithm in machine learning. It is an unsupervised learning algorithm. It is regularly used for data clustering. Only the number of clusters are needed to be specified for ...

Our Data Science Lab guru explains how to implement the k-means technique for data clustering, or cluster analysis, which is the process of grouping data items so that similar items belong to the same ...