Fischer, Aurélie - In: Statistics & Probability Letters 81 (2011) 12, pp. 1771-1781
Clustering is the problem of partitioning data into a finite number k of homogeneous and separate groups, called clusters. A good choice of k is essential for building meaningful clusters. In this paper, this task is addressed from the point of view of model selection via penalization. We design...