Data mining is the widely used research area in recent years. The results of data mining, represent relations in the data and are usually employed for classifying new data or for describing correlations hidden in the data. The process of classification predicts categorical labels based on the analysis of set of training data. Researchers have proposed many classification algorithms to automate ...

If is a group, then the category of -graded categorical groups is equivalent to the category of categorical groups supplied with a coherent left-action from . In this paper we use this equivalence and the homotopy classification of graded categorical groups and their homomorphisms to develop a theory of extensions of categorical groups when a fixed group of operators is acting. For this kind of...

INTRODUCTION K-nearest neighbor (k-NN) classification is conventional non-parametric classifier, which has been used as the baseline classifier in many pattern classification problems. It is based on measuring the distances between the test data and each of the training data to decide the final classification output. CASE DESCRIPTION Since the Euclidean distance function is the most widely us...