What is the role of centroids in the k-means algorithm?
Monday, 07 August 2023
by EITCA Academy
The role of centroids in the k-means algorithm is important for the process of clustering data points into distinct groups. In the field of machine learning, specifically in the domain of clustering, k-means algorithm is widely used for its simplicity and effectiveness. It aims to partition a given dataset into k clusters, where each cluster
- Published in Artificial Intelligence, EITC/AI/MLP Machine Learning with Python, Clustering, k-means and mean shift, Clustering introduction, Examination review
Tagged under:
Artificial Intelligence, Centroids, Clustering, Data Analysis, K-means Algorithm, Machine Learning