Results 11 to 20 of about 312,403 (279)
Secure $k$-ish Nearest Neighbors Classifier [PDF]
, 2019 In machine learning, classifiers are used to predict a class of a given query based on an existing (classified) database. Given a database S of n d-dimensional points and a d-dimensional query q, the k-nearest neighbors (kNN) classifier assigns q with ...
Feldman, Dan, Rus, Daniela, Shaul, Hayim
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Curve Skeleton Extraction Via K–Nearest–Neighbors Based Contraction
International Journal of Applied Mathematics and Computer Science, 2020 We propose a skeletonization algorithm that is based on an iterative points contraction. We make an observation that the local center that is obtained via optimizing the sum of the distance to k nearest neighbors possesses good properties of robustness ...
Zhou Jianling, Liu Ji, Zhang Min
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A multi-voter multi-commission nearest neighbor classifier
Journal of King Saud University: Computer and Information Sciences, 2022 Many improved versions of k-nearest neighbor (KNN) have been proposed by minimizing total distances of multi k nearest neighbors (multi-voter) in each class instead of the majority voting, such as a local mean-based pseudo nearest neighbor (LMPNN) that ...
Suyanto Suyanto +3 more
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A Graph-Based Semi-Supervised k Nearest-Neighbor Method for Nonlinear Manifold Distributed Data Classification [PDF]
, 2016 $k$ Nearest Neighbors ($k$NN) is one of the most widely used supervised learning algorithms to classify Gaussian distributed data, but it does not achieve good results when it is applied to nonlinear manifold distributed data, especially when a very ...
Kasabov, Nikola +4 more
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Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2023 Kakao merupakan salah satu hasil bumi dibidang perkebunan. Perkebunan kakao dengan hasilnya yaitu biji kakao dapat diolah menjadi bahan dasar tepung atau coklat.
Yohanes Balawuri Blikon
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Fire extinguishers based on acoustic oscillations in airflow using fuzzy classification [PDF]
Journal of Fuzzy Extension and Applications, 2023 Fire is a natural disaster that poses a profound existential threat to humanity. It has traditionally been fought with conventional methods, which, unfortunately, are often fraught with limitations and potential environmental damage.
Mahmut Dirik
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Customized K-nearest neighbors’ algorithm for malware detection [PDF]
International Journal of Data and Network ScienceThe security and integrity of computer systems and networks highly depend on malware detection. In the realm of malware detection, the K-Nearest Neighbors (KNN) algorithm is a well-liked and successful machine learning algorithm.
Mosleh M. Abualhaj +5 more
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Weighted k-Nearest-Neighbor Techniques and Ordinal Classification [PDF]
, 2004 In the field of statistical discrimination k-nearest neighbor classification is a well-known, easy and successful method. In this paper we present an extended version of this technique, where the distances of the nearest neighbors can be taken into ...
Hechenbichler, K., Schliep, K.
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Quantum K-nearest neighbors classification algorithm based on Mahalanobis distance
Frontiers in Physics, 2022 Mahalanobis distance is a distance measure that takes into account the relationship between features. In this paper, we proposed a quantum KNN classification algorithm based on the Mahalanobis distance, which combines the classical KNN algorithm with ...
Li-Zhen Gao +5 more
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An Extended K Nearest Neighbors-Based Classifier for Epilepsy Diagnosis
IEEE Access, 2021 In the diagnosis of epileptic seizures, classification is an important step that directly affects the results. Visual inspection of Electroencephalogram (EEG) is a relatively common analytic method of epilepsy, but it is costly, time-consuming and relies
Junying Na +3 more
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