Enhancing Clustering Stability and Efficiency: A Framework for Optimizing K-means, K-medoids, and K-shape with Intelligent Algorithms
Ru (Johnny) Zhang · Journal of Engineering Research and Reports · 2024
Clustering methods like Kmeans often produce inconsistent results due to the random initialization of cluster centroids, even with optimizations such as Kmeans++, which improve centroid selection but fail to eliminate sensitivity to initialization randomness. Additionally, the ch...
Open access
Research Article
10.9734/jerr/2024/v26i121351