Optimal feature subset selection is an important pre-processing step for classification in many real life problems where number of dimensions of feature space is large and some features are may be irrelevant or redundant. One example of such a situation is genes expression profile data to classify among normal and cancerous samples. Contribution of this paper is five folds. Similarity-dissimila...

A common way to represent patterns for recognition systems is by feature vectors lying in some space. If this representation is based only on the predefined object features, it is independent of the other objects. In contrast, a dissimilarity representation of objects takes into account the relations between them by some measure of resemblance (e.g. dissimilarity). The nearest neighbour (1-NN) ...

We propose a measure of divergence of probability distributions for quantifying the dissimilarity of two chaotic attractors. This measure is defined in terms of a generalized entropy. We illustrate our procedure by considering the effect of additive noise in the well known Hénon attractor. Finally, we show how our approach allows one to detect nonstationary events in a time series.

The primary accomplishment of this study is to explore how national culture dissimilarities impact pre and post performances of the resulted acquirers in China Merger and Acquisition (M&A) cases. This article developed the simplified representations of the National Culture Dissimilarity Index (NCDI) to examine the built-in models by taking hierarchical regression analysis approach. The NCDI con...