Multi-Prototype Clustering Algorithm Based on Density Peak Sampling

The popularity of k-means algorithm as a prototype-based clustering algorithm is due to its simplicity and efficiency. However, it uses only one prototype to model each class of data, which makes it less effective when dealing with non-convex unbalanced datasets. To overcome this issue, researchers ... View More