We have observed that supercomputing clusters made up of commodity off-the-shelf computers possess emergent properties that are apparent when these systems are considered as an in...
Gregory A. Koenig, Xin Meng, Adam J. Lee, Michael ...
One of the challenges in unsupervised machine learning is finding the number of clusters in a dataset. Clustering Validity Indices (CVI) are popular tools used to address this pro...
ASV Toolbox is a modular collection of tools for the exploration of written language data both for scientific and educational purposes. It includes modules that operate on word li...
Chris Biemann, Uwe Quasthoff, Gerhard Heyer, Flori...
Compute clusters are consuming more power at higher densities than ever before. This results in increased thermal dissipation, the need for powerful cooling systems, and ultimatel...
Kirk W. Cameron, Hari K. Pyla, Srinidhi Varadaraja...
We examine applications of clustering to the filtering task. We use the on-line version of the star algorithm [JPR98, JPR99] as the clustering tool because this algorithm compute...