How does the mean shift algorithm achieve convergence?
Monday, 07 August 2023
by EITCA Academy
The mean shift algorithm is a powerful method used in machine learning for clustering analysis. It is particularly effective in situations where the data points are not uniformly distributed and have varying densities. The algorithm achieves convergence by iteratively shifting the data points towards the regions of higher density, ultimately leading to the identification of
What is the limitation of the k-means algorithm when clustering differently sized groups?
Monday, 07 August 2023
by EITCA Academy
The k-means algorithm is a widely used clustering algorithm in machine learning, particularly in unsupervised learning tasks. It aims to partition a dataset into k distinct clusters based on the similarity of data points. However, the k-means algorithm has certain limitations when it comes to clustering differently sized groups. In this answer, we will delve