We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
We present two modifications to the popular k-means clustering algorithm to address the extreme requirements for latency, scalability, and sparsity encountered in user-facing web...
This work reports experiments with four hierarchical clustering algorithms and two clustering indices for online handwritten characters. The main motivation of the work is to deve...
Numerous clustering algorithms have been proposed that can support routing in mobile ad hoc networks (MANETs). However, there is very little formal analysis that considers the comm...
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...