My research investigates into using Markov chains to make link prediction and the transition matrix derived from Markov chains to acquire structural knowledge about Web sites. The ...
This paper studies an adaptive clustering problem. We focus on re-clustering an object set, previously clustered, when the feature set characterizing the objects increases. We prop...
We present an online adaptive clustering algorithm in a decision tree framework which has an adaptive tree and a code formation layer. The code formation layer stores the represen...
The goal of clustering is to identify distinct groups in a dataset. Compared to non-parametric clustering methods like complete linkage, hierarchical model-based clustering has th...
Adaptive Hierarchical Clustering Algorithm (AHCA) maps a flat topology to a hierarchical tree though output trees are incontrollable and are not suitable for multimedia. PruneRel...