Karur, Perambalur The k-nearest neighbor approach (k-NN) has been extensively used as a powerful non-parametric technique in many scientific and engineering applications. However, this approach incurs a large computational cost. Hence, this issue has become an active research field. In this work, a novel k-NN approach based on various-widths clustering, named kNNVWC, to efficiently find […]

Mumbai, Pune Classification problems in high dimensional data with a small number of observations are becoming more common especially in micro array data. During the last two decades, lots of efficient classification models and feature selection (FS) algorithms have been proposed for higher prediction ac-curacies. However, the result of an FS algorithm based on the […]