Condensed Nearest Neighbor Data Domain Description

The Condensed Nearest Neighbor Rule

Since, by (8) pertaining to the nearest neighbor decision rule (NN rule). We briefly review the NN rule and then describe the CNN rule. The NN rule['l-[ " I assigns an unclassified sample to the same class as the nearest of n stored, correctly classified samples. In other words, given a collection of n reference points, each classified by some external source, a new point is assigned to the sam...

Liquid-liquid equilibrium data prediction using large margin nearest neighbor

Guanidine hydrochloride has been widely used in the initial recovery steps of active protein from the inclusion bodies in aqueous two-phase system (ATPS). The knowledge of the guanidine hydrochloride effects on the liquid-liquid equilibrium (LLE) phase diagram behavior is still inadequate and no comprehensive theory exists for the prediction of the experimental trends. Therefore the effect the ...

Using condensed nearest neighbor rule for speaker independent word recognition

Semi-supervised condensed nearest neighbor for part-of-speech tagging

This paper introduces a new training set condensation technique designed for mixtures of labeled and unlabeled data. It finds a condensed set of labeled and unlabeled data points, typically smaller than what is obtained using condensed nearest neighbor on the labeled data only, and improves classification accuracy. We evaluate the algorithm on semisupervised part-of-speech tagging and present t...

The condensed nearest neighbor rule using the concept of mutual nearest neighborhood (Corresp.)

Consider a set of N objects, consisting of Ni objects originating from population Ai, i = 1,. . . , k, so that N = Zf-, Ni. In order to classify the set of N objects, we measure a variable with pdf A for objects originating from population Ai. Let x1,x2;. .,x, be the measured values of the N objects, which are assumed to be independent. Now consider the N-tuple Gi = (gljt g2j, * * ’ 3 Sp ’ ’ ’ ...