How does mean shift differ from the k-means clustering algorithm in terms of determining the number of clusters?
Monday, 07 August 2023
by EITCA Academy
Mean shift and k-means are both popular clustering algorithms used in machine learning. While they have similarities in terms of their purpose of grouping data points into clusters, they differ in how they determine the number of clusters. K-means is a centroid-based clustering algorithm that requires the number of clusters to be specified in advance.
- Published in Artificial Intelligence, EITC/AI/MLP Machine Learning with Python, Clustering, k-means and mean shift, Mean shift introduction, Examination review
Tagged under:
Artificial Intelligence, Clustering, K-means, Machine Learning, Mean Shift, Number Of Clusters