Results 41 to 50 of about 414,017 (186)

Demystifying Fixed k-Nearest Neighbor Information Estimators

, 2016
Estimating mutual information from i.i.d. samples drawn from an unknown joint density function is a basic statistical problem of broad interest with multitudinous applications.
Gao, Weihao, Oh, Sewoong, Viswanath, Pramod   +2 more
core   +1 more source

Metode K-nearest Neighbor Berbasis Forward Selection Untuk Prediksi Harga Komoditi Lada [PDF]

, 2015
Banyak peneliti termotivasi untuk meningkatkan kinerja prediksi. K-Nearest Neighbor (KNN) merupakan salah satu algoritma untuk regresi maupun klasifikasi sudah secara sukses diimplementasikan di berbagai bidang.
Nanja, M. (Muis), Purwanto, P. (Purwanto)   +1 more
core   +2 more sources

CLASSIFICATION OF BLOOD DONOR DATA USING C4.5 AND K-NEAREST NEIGHBOR METHODS (CASE STUDY: UTD PMI BALI PROVINCE)

Pilar Nusa Mandiri, 2022
Classification of blood donor data at UTD PMI Bali Province by applying the C4.5 and K-Nearest Neighbor algorithms. The number of blood donor data donors is 34,948, of which 90% of the data, namely 31,454 is used as training data.
Ni Ketut Melly Astuti, Nengah Widya Utami, I Gede Putu Krisna Juliharta   +2 more
doaj   +1 more source

A Continuous k-Nearest Neighbor Query Method for Moving Data in Obstructed Spaces

Journal of Harbin University of Science and Technology, 2018
For the nearest neighbor query problem of continuous moving objects in spatio-temporal databases, the COpKNN (continuous obstructed possible k-nearest neighbor) query is proposed: in a two-dimensional space, given a moving query point q, a set of moving ...
WAN Jing, TANG Bei-bei, HE Yun-bin, Li Song   +3 more
doaj   +1 more source

A Weighted kNN Fault Detection Based on Multistep Index and Dynamic Neighborhood Scale Under Complex Working Conditions

IEEE Access, 2023
Fault detection based on $k$ -nearest neighbor (FD- $k$ NN) is one of the most widespread fault detection techniques for industrial processes under complex working conditions, owing to its characteristic of local modeling.
Xiaoyi Qian, Tianhe Sun, Baoshi Wang, Yuxian Zhang   +3 more
doaj   +1 more source

Fast Approximate Complete-data k-nearest-neighbor Estimation

Austrian Journal of Statistics, 2020
We introduce a fast method to estimate the complete-data set of k-nearest-neighbors.This is equivalent to finding an estimate of the k-nearest-neighbor graph of the data. The method relies on random normal projections.
Alejandro Murua, Nicolas Wicker
doaj   +1 more source

Net and Prune: A Linear Time Algorithm for Euclidean Distance Problems [PDF]

, 2014
We provide a general framework for getting expected linear time constant factor approximations (and in many cases FPTAS's) to several well known problems in Computational Geometry, such as $k$-center clustering and farthest nearest neighbor.
Har-Peled, Sariel, Raichel, Banjamin
core  

Penerapan Analisis Sentimen pada Pengguna Twitter Menggunakan Metode K-Nearest Neighbor

JISKA (Jurnal Informatika Sunan Kalijaga), 2018
This research is made to implement the KNN (K-Nearest Neighbor) algorithm for sentiment analysis Twitter about Jakarta Governor Election 2017. The object is 2000 data tweets in Indonesia collected from Twitter during Januari 2017 using Python package ...
Akhmad Deviyanto, Muhammad Didik Rohmad Wahyudi   +1 more
doaj   +1 more source

Frustrated square lattice with spatial anisotropy: crystal structure and magnetic properties of PbZnVO(PO4)2

, 2009
Crystal structure and magnetic properties of the layered vanadium phosphate PbZnVO(PO4)2 are studied using x-ray powder diffraction, magnetization and specific heat measurements, as well as band structure calculations.
Abakumov, Artem M., Geibel, Christoph, Nath, Ramesh, Rosner, Helge, Shpanchenko, Roman V., Tsirlin, Alexander A.   +5 more
core   +1 more source

Implementing K-Nearest Neighbors (k-NN) Algorithm and Backward Elimination on Cardiotocography Datasets

JOIV: International Journal on Informatics Visualization
Having a healthy baby is a dream for mothers. Unfortunately, high maternal and fetal mortality has become a vital problem that requires early risk detection for pregnant women.
Muchamad Kurniawan, Gusti Eka Yuliastuti, Andy Rachman, Adib Pakar Budi, Hafida Nur Zaqiyah   +4 more
doaj   +1 more source