What is the significance of calculating the average feature values for each class in the custom k-means algorithm?
Monday, 07 August 2023 by EITCA Academy
In the context of the custom k-means algorithm in machine learning, calculating the average feature values for each class holds significant importance. This step plays a important role in determining the cluster centroids and assigning data points to their respective clusters. By computing the average feature values for each class, we can effectively represent the
- Published in Artificial Intelligence, EITC/AI/MLP Machine Learning with Python, Clustering, k-means and mean shift, Custom K means, Examination review
Tagged under: Artificial Intelligence, Clustering, Custom K-means, K-means, Machine Learning, Python
How do we classify data points based on their proximity to the centroids in the custom k-means algorithm?
Monday, 07 August 2023 by EITCA Academy
In the custom k-means algorithm, data points are classified based on their proximity to the centroids. This process involves calculating the distance between each data point and the centroids, and then assigning the data point to the cluster with the closest centroid. To classify the data points, the algorithm follows these steps: 1. Initialization: The
- Published in Artificial Intelligence, EITC/AI/MLP Machine Learning with Python, Clustering, k-means and mean shift, Custom K means, Examination review
Tagged under: Artificial Intelligence, Custom K-means, Data Clustering, K-means Algorithm, Machine Learning, Python