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Perbandingan Rapid Centroid Estimation (RCE) — K Nearest Neighbor (K-NN) Dengan K Means — K Nearest Neighbor (K-NN) DOI : 10.30743/infotekjar.v2i1.166 | Abstract views : 369 times

Khairul Umam Syaliman,M. Zulfahmi,Aldi Abdillah Nababan

Teknik Clustering terbukti dapat meningkatkan akurasi dalam melakukan klasifikasi, terutama pada algoritma K-Nearest Neighbor (K-NN). Setiap data dari setiap kelas akan membentuk K cluster yang kemudian nilai centroid akhir dari setiap cluster pada setiap... see more

Akurasi | Clustering | K-Means | K-Nearest Neighbor (K-NN) | Rapid Entimation Centroid (RCE).

InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) , 2017

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Prediction of Average Speed Based on Relationships Between Neighbouring Roads Using K-NN and Neural Network

Bagus Priambodo,Azlina Ahmad,Rabiah Abdul Kadir

For decades, various algorithms to predict traffic flow have been developed to address traffic congestion. Traffic congestion or traffic jam occurs as a ripple effect from a road congestion in the neighbouring area. Previous research shows that there is a... see more

k-nearest neighbour | k-means clustering | neural network | prediction of traffic speed | the relationship between roads

International Journal of Online Engineering (iJOE) , 2020

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Analisis Unjuk Kerja Sistem FBMC OQAM Menggunakan K-NN Clustering Sebagai Pengganti Demapper

Caesar Sabani,Anggun Fitrian Isnawati,Mas Aly Afandi

FBMC OQAM | ZF | SNR | BER | K-NN Clustering

Jurnal Teknologi Rekayasa , PP

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Peningkatan Kecepatan Algoritma k-NN Untuk Sistem Pengklasifikasian Kendaraan Bermotor DOI : 10.33633/tc.v19i2.3458

Wahyono Wahyono

K-Nearest Neighbor (KNN) merupakan algoritma mesin pembelajaran yang memiliki akurasi yang baik meski sangat sederhana untuk diimplementasikan. Namun, salah satu kelemahan algorima KNN adalah kecepatan komputasi yang sangat tergantung pada jumlah dataset ... see more

k-nearest neighbor | clustering | klasifikasi jenis kendaraan | mesin pembelajaran

Techno.Com , 2020

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RETRACTED: Comparison of running time between C4.5 and k-nearest neighbor (k-NN) algorithm on deciding mainstay area clustering

(1) Heru Ismanto (Universitas Musamus Merauke, Indonesia) (2) Retantyo Wardoyo (Computer Science and Electronic Dept., Universitas Gadjah Mada, Indonesia)

RETRACTEDFollowing a rigorous, carefully concerns and considered review of the article published in International Journal of Advances in Intelligent Informatics to article entitled “Comparison of running time between C4.5 and k-nearest neighbor (k-NN) alg... see more

International Journal of Advances in Intelligent Informatics , 2016

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RETRACTED: Comparison of running time between C4.5 and k-nearest neighbor (k-NN) algorithm on deciding mainstay area clustering

(1) Heru Ismanto (Universitas Musamus Merauke, Indonesia) (2) Retantyo Wardoyo (Computer Science and Electronic Dept., Universitas Gadjah Mada, Indonesia)

IJAIN (International Journal of Advances in Intelligent Informatics) , 2016

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Aerodynamic Parameters Estimation Using Radial Basis Function Neural Partial Differentiation Method

Jitu Sanwale, Dhan Jeet Singh

Aerodynamic parameter estimation involves modelling of force and moment coefficients and computation of stability and control derivatives from recorded flight data. This problem is extensively studied in the past using classical approaches such as output ... see more

RBF Neural Network | EKF | k-means clustering | PDM | Aerodynamic parameter estimation

Defence Science Journal , PP

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K-Means and K-Medoids Algorithm Comparison for Clustering Forest Fire Location in Indonesia

Ichwanul Muslim Karo Karo, Sri Dewi, Mardiana Mardiana, Fanny Ramadhani, Putri Harliana

Forest fires are the most common cause of deforestation in Indonesia. This condition has a negative impact on the survival of living things. Of course, this has received special attention from various parties. One effort that can be made for prevention is... see more

Clustering | K-Means | K-Medoids | Feature Importance

Jurnal Ecotipe (Electronic; Control; Telecommunication; Information; and Power Engineering) , 2096

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Clustering Reservoirs in Indonesia Based on Area and Volume Using the K-Means Algorithm DOI : 10.24114/cess.v8i2.44390 | Abstract views : 2 times

Shofinurdin Shofinurdin,Afifah Khaerani,Arief Wibowo

Embung adalah cekungan yang digunakan untuk mengatur dan menampung aliran hujan dan meningkatkan kualitas air di badan air yang terkait. Embung juga digunakan untuk menjaga kualitas air tanah, mencegah banjir, menjaga estetika, dan mengairi. Terdapat 1.44... see more

CESS (Journal of Computer Engineering; System and Science) , 2012

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