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IMPROVEMENT OF ACCURACY OF PARAMETRIC CLASSIFICATION IN THE SPACE OF N×2 FACTORS-ATTRIBUTES ON THE BASIS OF PRELIMINARY OBTAINED LINEAR DISCRIMINANT FUNCTION

Mourad Aouati

A procedure for classifying objects in the space of N×2 factors-attributes that are incorrectly classified as a result of constructing a linear discriminant function is proposed. The classification accuracy is defined as the proportion of correctly classi... see more

parametric classification | pattern recognition | object classification accuracy | cluster | linear discriminant function

EUREKA: Physics and Engineering , 2017

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IMPROVEMENT OF ACCURACY OF PARAMETRIC CLASSIFICATION IN THE SPACE OF N×2 FACTORS-ATTRIBUTES ON THE BASIS OF PRELIMINARY OBTAINED LINEAR DISCRIMINANT FUNCTION

Mourad Aouati

parametric classification | pattern recognition | object classification accuracy | cluster | linear discriminant function

EUREKA: Physics and Engineering , 2017

Free Access

A COMPARISON OF HAZE REMOVAL ALGORITHMS AND THEIR IMPACTS ON CLASSIFICATION ACCURACY FOR LANDSAT IMAGERY

Yang Xiao,Zhiyun Ouyang,Zhiming Zhang,Chaofan Xian

The quality of Landsat images in humid areas is considerably degraded by haze in terms of their spectral response pattern, which limits the possibility of their application in using visible and near-infrared bands. A variety of haze removal algorithms hav... see more

haze contamination | HF | VCP | classification accuracy

Boletim de Ciências Geodésicas , 2017

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Comparative Analysis to Determine the Best Accuracy of Classification Methods Warnia Nengsih(1); Yuli Fitrisia(2); Mardhiah Fadhli(3) (1) Politeknik Caltex Riau (2) Politeknik Caltex Riau (3) Politeknik Caltex Riau () Corresponding Author

The classification method is one of the methods of supervised learning and predictive learning. This method can be used to detect an object in the image presented, whether it is in accordance with the existing object in the training phase. There are sever... see more

SVM | K-NN | Decision Tree | Classification

ILKOM Jurnal Ilmiah , 2022

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Comparison of correlated algorithm accuracy Naive Bayes Classifier and Naive Bayes Classifier for heart failure classification Pungkas Subarkah(1); Wenti Risma Damayanti(2); Reza Aditya Permana(3) (1) Universitas Amikom Purwokerto (2) Universitas Amikom Purwokerto (3) Universitas Amikom Purwokerto () Corresponding Author

Heart failure (ARF) is a health problem that has relatively high mortality and morbidity rates in developed or developing countries, including Indonesia. In 2016, WHO stated that 17.5 million people died from cardiovascular disease, while in 2008, HF dise... see more

Classification | Correlated Naive Bayes Classifier | Naive Bayes Classifier | Heart failure.

ILKOM Jurnal Ilmiah , 2022

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Increased Accuracy on Image Classification of Game Rock Paper Scissors using CNN

Muhammad Nur Ichsan, Nur Armita, Agus Eko Minarno, Fauzi Dwi Setiawan Sumadi, Hariyady

Rock Paper Scissors is one of the most popular games in the world, because of their easy and simple way to play among young and elderly people. The point of this game is to do the draw or just to find out who loses or wins. The pandemic conditions made pe... see more

CNN | Deep Learning | Image Classification | Machine Learning | Neural Network

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) , 2022

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Implementation of Naïve Bayes for Classification of Learning Types

Lisnawita Lisnawita, Guntoro Guntoro, Musfawati Musfawati

Learning is a process that is carried out by each individual from not knowing to knowing, or from bad behavior to being good, so that it has a good change for the individual, Each individual has a learning type in receiving the material presented by the t... see more

Learning Type | Classification | Nave bayes | Accuracy

Digital Zone: Jurnal Teknologi Informasi dan Komunikasi , 2022

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Classification of Ischemic Stroke with Convolutional Neural Network (CNN) approach on b-1000 Diffusion-Weighted (DW) MRI

Andi Kurniawan Nugroho, Dinar Mutiara Kusumo Nugraheni, Terawan Agus Putranto, I Ketut Eddy Purnama, Mauridhi Hery Purnomo

When the blood flow to the arteries in brain is blocked, its known as Ischemic stroke or blockage stroke. Ischemic stroke can occur due to the formation of blood clots in other parts of the body. Plaque buildup in arteries, on the other hand, can cause bl... see more

Ischemic Stroke | Classification | CNN | b-1000 Diffusion-Weighted (DW) MRI | Accuracy

Emitter: International Journal of Engineering Technology , 2022

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Classification Performance Using Principal Component Analysis and Different Value of the Ratio R

Jasmina Novakovic,Sinisa Rankov

A comparison between several classification algorithms with feature extraction on real dataset is presented. Principal Component Analysis (PCA) has been used for feature extraction with different values of the ratio R, evaluated and compared using four di... see more

feature extraction | linear feature extraction methods | principal component analysis | classification algorithms | classification accuracy

International Journal of Computers Communications & Control , 2011

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