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 insights can we gain from analyzing the survival rates of different cluster groups in the Titanic dataset?
Monday, 07 August 2023 by EITCA Academy
Analyzing the survival rates of different cluster groups in the Titanic dataset can provide valuable insights into the factors that influenced the chances of survival during the tragic event. By applying clustering techniques such as k-means or mean shift to the dataset, we can identify distinct groups of passengers based on their characteristics and examine