نتایج جستجو برای: k nearest neighbor

تعداد نتایج: 406177  

Journal: :PVLDB 2014
Chuanwen Li Yu Gu Jianzhong Qi Ge Yu Rui Zhang Wang Yi

The moving k nearest neighbor query, which computes one’s k nearest neighbor set and maintains it while at move, is gaining importance due to the prevalent use of smart mobile devices such as smart phones. Safe region is a popular technique in processing the moving k nearest neighbor query. It is a region where the movement of the query object does not cause the current k nearest neighbor set t...

In this work, one and two-dimensional lattices are studied theoretically by a statistical mechanical approach. The nearest and next-nearest neighbor interactions are both taken into account, and the approximate thermodynamic properties of the lattices are calculated. The results of our calculations show that: (1) even though the next-nearest neighbor interaction may have an insignificant ef...

2016
Muhammad Rizwan David V. Anderson

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...

2012
Somayeh Kianpisheh Saeed Jalili Nasrolah Moghadam Charkari

To have high performance scheduling mechanisms in grid computing, we need accurate methods for estimating parameters like jobs' wait time and run time. In this paper, we consider wait time prediction problem. Different regression techniques are examined on AuverGrid data set to predict wait time. To improve the quality of prediction, some extra features are proposed. Simulation results show tha...

2007
Enrico Blanzieri Anton Bryl

In this paper we evaluate an instance-based spam filter based on the SVM nearest neighbor (SVM-NN) classifier, which combines the ideas of SVM and k-nearest neighbor. To label a message the classifier first finds k nearest labeled messages, and then an SVM model is trained on these k samples and used to label the unknown sample. Here we present preliminary results of the comparison of SVM-NN wi...

Journal: :IOP Conference Series: Materials Science and Engineering 2019

Journal: :Journal of Biomedical Science and Engineering 2010

Journal: :Incomtech 2023

Penyakit kardiovaskular atau lebih dikenal dengan penyakit jantung menjadi salah satu penyebab kematian tertinggi di Indonesia dan tingkat global. Selain pola hidup sehat untuk mencegah tersebut, deteksi dini terhadap resiko dapat dilakukan data mining machine learning satunya k-NN. k-NN adalah metode paling sederhana kuat dalam konsistensi hasil klasifikasi, akan tetapi memiliki kekurangan yai...

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