How do we initialize the centroids in the custom k-means algorithm?
Monday, 07 August 2023
by EITCA Academy
In the custom k-means algorithm, the initialization of centroids is a important step that greatly impacts the performance and convergence of the clustering process. The centroids represent the center points of the clusters and are initially assigned to random data points. This initialization process ensures that the algorithm starts with a reasonable approximation of the
What are the two major forms of clustering?
Monday, 07 August 2023
by EITCA Academy
In the field of Artificial Intelligence and Machine Learning, clustering is a widely used technique for grouping similar data points together based on their inherent characteristics. It is an unsupervised learning method that aims to discover patterns and relationships in the data without any predefined labels or categories. Two major forms of clustering that are