'Nn classification' presentation slideshows

CS26110 AI Toolbox

CS26110 AI Toolbox. k- NN classification. Classification problem. Decide which class a particular pattern belongs to on the basis of a set of measurements Typically, the data tells us something about the patterns for each class

338 views • 25 slides

Debrup Chakraborty

Non Parametric Methods. Pattern Recognition and Machine Learning. Debrup Chakraborty. Nearest Neighbor classification. Given: Given a labeled sample of n feature vectors ( call X) A distance measure (say the Euclidian Distance). To find:

252 views • 17 slides

New Algorithms for Efficient High-Dimensional Nonparametric Classification

New Algorithms for Efficient High-Dimensional Nonparametric Classification. Ting Liu, Andrew W. Moore, and Alexander Gray. Overview. Introduction k Nearest Neighbors ( k -NN) KNS1: conventional k -NN search New algorithms for k -NN classification KNS2: for skewed-class data

264 views • 14 slides

CS5540: Computational Techniques for Analyzing Clinical Data

176 views • 11 slides