What is the difference between bandwidth and radius in the context of mean shift clustering?
Monday, 07 August 2023
by EITCA Academy
In the context of mean shift clustering, bandwidth and radius are two important parameters that play a important role in determining the behavior and performance of the clustering algorithm. While both parameters are used to define the neighborhood of a data point, they differ in their interpretation and impact on the clustering process. Bandwidth refers
- Published in Artificial Intelligence, EITC/AI/MLP Machine Learning with Python, Clustering, k-means and mean shift, Mean shift from scratch, Examination review
Tagged under:
Artificial Intelligence, Bandwidth, Data Points, Kernel Density Estimation, Mean Shift Clustering, Radius

