A fast nearest neighbor algorithm for pattern classiication is proposed and tested on real data. The patterns (points in d-dimensional Euclidean space) are sorted along a space-lling curve. This way the multidi-mensional problem is compressed to the simplest case of the nearest neighbor search in one dimension.

The accuracy of the k-nearest neighbor algorithm depends on the distance function used to measure similarity between instances. Methods have been proposed in the literature to learn a good distance function from a labelled training set. One such method is the large margin nearest neighbor classifier that learns a global Mahalanobis distance. We propose a mixture of such classifiers where a gati...

An adaptive weighted K-nearest neighbor (AWKNN) trilateration positioning algorithm fused with the channel state information (CSI) is proposed to optimize accuracy of visible light positioning. The core concept behind this combine WKNN ranging based on CSI. direct path distance estimated by CSI utilized construct a position set consisting multiple positions and corresponding database containing...

The clustering results of the density peak algorithm (DPC) are greatly affected by parameter d c , and center needs to be selected manually. To solve these problems, this paper proposes a low sensitivity dynamic based on K-Nearest Neighbor (DDPC), label is allocated adaptively analy...

YBM PLN UIWS2JB provides scholarships for high school students who cannot afford tuition due to poverty or other economic conditions. Since the target is specific, foundation must carefully select recipients ensure scholarship granted those deserve it. The predetermined criteria combined with limited quota available become a difficulty in itself as large number of applications are coming in. Da...

Indonesia is in the fourth position of countries with most smartphone users worldwide. Smartphones are needed today's modern times. also used not only for long-distance communication but carrying out daily work. currently study and work become entertainment to play. Therefore, smartphones very much sought after suitability who carry their activities. So this research helpful find that support a...

Recent advances in DNA microarray technology have made it possible to measure the expression level of several thousand of genes simultaneously. The gene expression profiles obtained from microarray techniques have provided the opportunity of early diagnosis of cancer with the use of supervised learning algorithms. As a simple, effective and nonparametric classification method, k-Nearest Neighbo...

K-nearest neighbor (k-NN) classification is a powerful and simple method for classification. k-NN classifiers approximate a Bayesian classifier for a large number of data samples. The accuracy of k-NN classifier relies on the distance metric used for calculating nearest neighbor and features used for instances in training and testing data. In this paper we use deep neural networks (DNNs) as a f...