GitHub / vasukara13 / Kmeans_algorithm

This repository contains an implementation of the K-Means Clustering algorithm using C++. The purpose of the algorithm is to partition a dataset into clusters, where each cluster is represented by its centroid. This implementation uses Tokura distance, a weighted Euclidean distance, to measure similarity between data points and centroids.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vasukara13%2FKmeans_algorithm
PURL: pkg:github/vasukara13/Kmeans_algorithm

Topics: kmeans, kmeans-algorithm, kmeans-clustering

• Files
• Readme
• Dependencies