• Multilabel Prototype Generation for efficient k-Nearest Neighbour classification Four multiclass methods are adapted to the multilabel space Evaluation with twelve corpora, three noise scenarios, and different classifiers Proposals significantly improve performance reduction rates of reference strategies Novel adaptations proposed also show significant capabilities (PG) typically considered i...

Abstract. Global Navigation Satellite Systems are not effective when there is no direct line of sight between the user and satellites, such as indoor environments dense urban areas. Today, location-based services used significantly due to their utility ease access. The fingerprint method one common methods determining location in environments. In this research, positioning system based on algor...

Program Beasiswa Bidikmisi adalah program bantuan Kementerian Pendidikan dan Kebudayaan melalui Direktorat Jendral Tinggi mulai tahun 2010. tersebut ditujukan bagi mahasiswa yang memiliki perokonomian kurang mampu, namun berpotensi untuk melanjutkan ke jenjang lebih tinggi (pendidikan tinggi). Dilihat dari jumlah bidikmisi diterima di perguruan data histori pendidikan didapatkan dapat mempredik...

The purpose of this study was to examine the use of non-parametric methods in estimating tree level growth models. In non-parametric methods the growth of a tree is predicted as a weighted average of the values of neighbouring observations. The selection of the nearest neighbours is based on the differences between tree and stand level characteristics of the target tree and the neighbours. The ...

ABSTRACT In astronomy and cosmology significant effort is devoted to characterizing understanding spatial cross-correlations between points – e.g galaxy positions, high energy neutrino arrival directions, X-ray AGN sources, continuous fields e.g. weak lensing meiand Cosmic Microwave Background maps. Recently, we introduced the k-nearest neighbour (kNN) formalism better characterize clustering o...

The k Nearest Neighbour (kNN) method is a widely used technique which has found several applications in clustering and classification. In this paper, we focus on classification problems and we propose modifications of the nearest neighbour method that exploit information from the structure of a dataset. The results of our experiments using datasets from the UCI repository demonstrate that the c...

Recommender systems, tool for predicting users’ potential preferences by computing history data and users’ interests, show an increasing importance in various Internet applications such as online shopping. As a well-known recommendation method, neighbourhood-based collaborative filtering has attracted considerable attentions recently. The risk of revealing users’ private information during the ...

This paper explores a method of performing localization on local vision mobile robots. It describes a method of processing images, extracting regions, and comparing those regions against a database of preprocessed images. Localization is achieved using the k-nearest neighbour algorithm as the basis for approximating the current position. Initial results are provided that show the potential of t...