How does the mean shift dynamic bandwidth approach handle finding centroids correctly without hard coding the radius?
Monday, 07 August 2023
by EITCA Academy
The mean shift dynamic bandwidth approach is a powerful technique used in clustering algorithms to find centroids without hard coding the radius. This approach is particularly useful when dealing with data that has non-uniform density or when the clusters have varying shapes and sizes. In this explanation, we will consider the details of how the
- Published in Artificial Intelligence, EITC/AI/MLP Machine Learning with Python, Clustering, k-means and mean shift, Mean shift dynamic bandwidth, Examination review
Tagged under:
Adaptive Algorithm, Artificial Intelligence, Clustering, Density Estimation, Dynamic Bandwidth, Mean Shift