-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
In this paper, an evolutionary clustering technique is described that uses a new point symmetry-based distance measure. The algorithm is therefore able to detect both convex and n...
Background: An important problem in genomics is the automatic inference of groups of homologous proteins from pairwise sequence similarities. Several approaches have been proposed...
This workshop provides a forum for an overview, project presentations, and discussion of the research fostered and funded initially by the NSF Next Generation Software (NGS) Progr...
Software applications typically have many features that vary in their similarity. We define a measurement of similarity between pairs of features based on their underlying implem...
Jay Kothari, Trip Denton, Spiros Mancoridis, Ali S...