Experimental phasing of diffraction data from macromolecular crystals involves deriving phase probability distributions. These distributions are often bimodal, making their weighted average, the centroid phase, improbable, so that electron-density maps computed using centroid phases are often non-interpretable. Density modification brings in information about the characteristics of electron den...

K-nearest neighbor (KNN) is an effective nonparametric classifier that determines the neighbors of a point based only on distance proximity. The classification performance KNN disadvantaged by presence outliers in small sample size datasets and its deteriorates with class imbalance. We propose local Bonferroni Mean Fuzzy K-Nearest Centroid Neighbor (BM-FKNCN) assigns label query dependent neare...

This acoustic study examines sound (vowel) change in apparent time across three successive generations of 123 adult female speakers ranging in age from 20 to 65 years old, representing three regional varieties of American English, typical of western North Carolina, central Ohio and southeastern Wisconsin. A set of acoustic measures characterized the dynamic nature of formant trajectories, the a...

This article concerns the classification of household sounds for the development of an application to help people with hearing disabilities to resolve everyday situations which may present them with serious problems: telephone calls, the sound of the door bell, an alarm clock, the completion of a domestic appliance programme, etc. It presents the study carried out in order to obtain the best ac...

We introduce a clustering heuristic based on an effective nearest neighbor search procedure by reducing the TSP (Traveling Saleman Problem) tour length. This technique contributes to the improvement of the TSP solutions and also provides a technique of finding cluster center in a large domain where finding the center point of data clusters is a difficult problem as the huge volume of data is no...