For example,Бобцов

RANDOMIZED METHOD OF FINDING THE NUMBER OF CLUSTERS IN A DATA SET

Annotation

  New non-parametric method of choosing the number of groups in a data set is proposed. It is based on randomized stochastic approximation algorithm with input artificial perturbation. Main features to keep convergence under almost arbitrary noise are described. Proposed method could be used for on-line clustering of dynamically changed data sets. The effectiveness is demonstrated on a wide range of simulated and real nature data sets.

Читать текст статьи

Keywords

Articles in current issue