Search Results - Nearest and Dearest~
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Nearest neighbour group-based classification
Published 2010“…In this paper, we extend three variants of the nearest neighbour algorithm to develop a number of non-parametric group-based classification techniques. …”
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Face classification using PCA and K-nearest neighbor method
Published 2014“…Principle Component Analysis is one of the most useful method using for human face recognition, our aim in this research is to implement an understandable recognition program with language R; furthermore, comparing K-Nearest Neighbor classifier with two different distance measurement and Support Vector Machines on their efficiency. …”
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Exact fuzzy k-Nearest neighbor classification for big datasets
Published 2017“…The k-Nearest Neighbors (kNN) classifier is one of the most effective methods in supervised learning problems. …”
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Phase diagram of the Ising model with next-nearest-neighbour interactions
Published 2010“…Vannimenus proved that the phase diagram of Ising model with competing neareast-neighbour interaction J1 and prolonged next-nearest neighbour interactions Jp contains a modulated phase, as found for similar models on periodic lattices. …”
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Phase diagram of the Ising model next-nearest-neighbour interactions
Published 2010“…Vannimenus proved that the phase diagram of Ising model with competing neareast-neighbour interaction J1 and prolonged next-nearest neighbour interactions Jp contains a modulated phase, as found for similar models on periodic lattices. …”
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Phase diagram of the Ising model with next-nearest-neighbour interactions
Published 2011“…Vannimenus proved that the phase diagram of Ising model with competing neareast-neighbour interaction J1 and prolonged next-nearest neighbour interactions Jp contains a modulated phase, as found for similar models on periodic lattices. …”
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Optimization of k-Nearest Neighbour to categorize Indonesian’s news articles
Published 2021“…This study examined PSO to optimize the k-Nearest Neighbour (k-NN) algorithm's performance in categorizing news articles. k-NN is an algorithm that is simple and easy to implement. …”
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Fruits recognition based on texture features and K-Nearest Neighbor
Published 2018“…A framework which extracts five texture features (homogeneity, energy, entropy, correlation, and contrast) based on Gray-level Co-occurrence Matrix (GLCM) descriptor is constructed. k-Nearest Neighbour (k-NN) is used at the classifier model to determine the type of fruits. …”
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The identification of hunger behaviour of lates calcarifer using k-nearest neighbour
Published 2018“…The clustered fish behaviour is then classified through k-Nearest Neighbour (k-NN) learning algorithm. Three different variations of the algorithm namely, fine, medium and coarse are assessed on its ability to classify the aforementioned fish hunger behaviour. …”
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Simple quantum circuit for pattern recognition based on nearest mean classifier
Published 2016“…In this paper we propose a simple quantum circuit based on the nearest mean classifier to classified handwriting characters. …”
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From Big data to Smart Data with the K-Nearest Neighbours algorithm
Published 2016Subjects: “…k-Nearest Neighbours…”
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The classification of meat odor-profile using K-nearest neighbors (KNN)
“…The raw data were then pre-processed and the data was extracted using the mean feature to produce the odor-profile. Finally, the K-Nearest Neighbors (KNN) method was used to classify the data. …”
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The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach
“…This study aims at classifying flat ground tricks namely Ollie, Kickflip, Shove-it, Nollie and Frontside 180 through the use of Inertial Measurement Unit (IMU) and a class of machine learning model namely k-Nearest Neighbour (k-NN). An amateur skateboarder (23 years of age ± 5.0 years’ experience) executed five tricks for each type of trick repeatedly on a customized ORY skateboard (IMU sensor fused) on a cemented ground. …”
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The Identification of hunger behaviour of lates calcarifer using k-nearest neighbour
Published 2018“…The clustered fish behaviour is then classified through k-Nearest Neighbour (k-NN) learning algorithm. Three different variations of the algorithm namely, fine, medium and coarse are assessed on its ability to classify the aforementioned fish hunger behaviour. …”
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Classification of compressive strength grades for lightweight aggregate concrete with palm oil fuel ash (POFA) using kNearest Neighbour (k-NN)
Published 2023“…The results showed that k-NN can classify the grades of concrete with accuracies between 71% and 95% using five nearest neighbours. The accuracies are inversely proportional to the number of nearest neighbours. …”
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Distance based sweep nearest algorithm to solve capacitated vehicle routing problem
Published 2016“…On the other hand, Sweep Nearest (SN) algorithm, an extension of Sweep, also considers smallest polar angle customer to initialize a cluster but inserted other customer based on the nearest neighbor approach. …”
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Finger Vein Recognition Based On An Improved K-Nearest Centroid Neighbor Classifier
Published 2017“…This project is developed to propose an improved K-Nearest Centroid Neighbor classifier for finger vein recognition. …”
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