CNMBI: Determining the Number of Clusters Using Center Pairwise Matching and Boundary Filtering

ArXi:2603.26744v1 Announce Type: new One of the main challenges in data mining is choosing the optimal number of clusters without prior information. Notably, existing methods are usually in the philosophy of cluster validation and hence have underlying assumptions on data distribution, which prevents their application to complex data such as large-scale images and high-dimensional data from the real world. In this regard, we propose an approach named