Effective Deterministic Initialization for $k$-Means-Like Methods via Local Density Peaks Searching

Fengfu Li, Hong Qiao, Bo Zhang

The $k$-means clustering algorithm is popular but has the following main drawbacks: 1) the number of clusters, $k$, needs to be provided by the user in advance, 2) it can easily re…