We present a new domain for unsupervised learning: automatically customizing the computer to a specific melodic performer by merely listening to them improvise. We also describe B...
We present a novel unsupervised learning scheme that simultaneously clusters variables of several types (e.g., documents, words and authors) based on pairwise interactions between...
Abstract—In this paper, we explore the “clustering” phenomenon in BT-like systems. A high clustering implies peers have a high tendency to exchange information with peers of ...
The increasing availability of streaming data is a consequence of the continuing advancement of data acquisition technology. Such data provides new challenges to the various data a...
Dimitris K. Tasoulis, Gordon J. Ross, Niall M. Ada...
With the invention of biotechnological high throughput methods like DNA microarrays and the analysis of the resulting huge amounts of biological data, clustering algorithms gain ne...