Incremental nested partition method

In this paper, we introduce an incremental nested partition algorithm for finding the inner structuralization of dynamic datasets. Here we use three partition criteria that allow to obtain a hierarchy of clusterings. The algorithm is based on some mathematical properties, which are introduced in the paper. The experimental results over the AFP and TDT2 news collections show the usefulness of our method to reveal different levels of the information hidden in the datasets.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Jyrko Correa-Morris, José Ruiz-Shulcloper, Aurora Pons-Porrata, Dustin Luis Espinosa-Isidrón
• Keywords: Computer Vision, Dynamic Datasets, ICPR 2008, Nested Partition Algorithm, Partition Criteria