We explore in this paper the efficient clustering of item data. Different from those of the traditional data, the features of item data are known to be of high dimensionality and...
One of the central problems in cognitive science is determining the mental representations that underlie human inferences. Solutions to this problem often rely on the analysis of ...
The similarity search has become a fundamental computational task in many applications. One of the mathematical models of the similarity – the metric space – has drawn attenti...
Measuring similarity of two musical pieces is an ill-defined problem for which recent research on contextual information, assigned as free-form text (tags) in social networking s...
Rapid technological change requires that system designers explore potential design spaces widely before committing to a local design space in which to evolve a problem solution. W...