Results 51 to 60 of about 184,536 (160)
Implementasi Pengenalan Wajah Menggunakan PCA (Principal Component Analysis)
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems), 2013 AbstrakSistem identifikasi berkembang dengan cepat. Perkembangan tersebut mendorong kemajuan sistem keamanan berbasis biometrik. Pengenalan wajah adalah salah satu sistem identifikasi yang dikembangkan berdasarkan perbedaan ciri wajah seseorang berbasis biometrik yang memiliki keakuratan tinggi.Eigenface merupakan salah satu metode pengenalan wajah ...
Pratiwi, Dian Esti, Harjoko, Agus
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Process Monitoring via Key Principal Components and Local Information Based Weights
IEEE Access, 2019 There are two problems in principal component analysis (PCA), which is widely employed in multivariate statistical process monitoring. On one hand, principal components selection according to the variance of the normal training dataset cannot represent ...
Bing Song +5 more
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Application of Principal Component Analysis (PCA) to Medical Data
Indian Journal of Science and Technology, 2017 Objectives: To apply Principal Component Analysis to medical data to explore the factors thought to be very important in increasing the risk of Ischemic Heart Diseases. Methods/Statistical Analysis: PCA was performed in R-mode using correlation and covariance for medical data.
Barkatullah Qureshi +5 more
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METODE PRINCIPAL COMPONENT ANALYSIS (PCA) SEBAGAI PENANGANAN ASUMSI MULTIKOLINEARITAS
PARAMETER: Jurnal Matematika, Statistika dan Terapannya, 2023 Salah satu metode analisis yang banyak digunakan dalam penelitian adalah analisis regresi linier. Pada kasus regresi sederhana, pola hubungan linier diterapkan untuk satu variabel bebas dan satu variabel terikat. Sedangkan pada kasus regresi berganda, pola hubungan linier diterapkan untuk satu variabel bebas dengan beberapa variabel terikat.
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PRINCIPAL COMPONENT ANALYSIS (PCA) DAN APLIKASINYA DENGAN SPSS
Jurnal Kesehatan Masyarakat Andalas, 2009 PCA (Principal Component Analysis ) are statistical techniques applied to a single set of variables when the researcher is interested in discovering which variables in the setform coherent subset that are relativity independent of one another.Variables that are correlated with one another but largely independent of other subset of variables are ...
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Tutorial: Principal Components Analysis (PCA) in R
, 2010 Found this tutorial by Emily Mankin on how to do principal components analysis (PCA) using R. Has a nice example with R code and several good references. The example starts by doing the PCA manually, then uses R's built in prcomp() function to do the same PCA.
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Genetics Selection EvolutionBackground Methane emissions from ruminant livestock pose a significant challenge to mitigating climate change. Genomic selection offers a promising approach to reduce methane emissions, but prediction accuracy remains low due to the high cost of ...
Setegn Worku Alemu +7 more
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Aplikasi Presensi Pegawai Dengan Metode Principal Component Analysis (PCA)
Journal of Informatics and Electronics EngineeringPresensi pegawai merupakan aspek penting dalam menjaga kinerja dan efisiensi organisasi, terutama pada lembaga seperti Badan Pusat Statistik (BPS) yang berperan dalam mengumpulkan dan menganalisis data statistik. Dalam upaya untuk mengidentifikasi dan menganalisis pola presensi pegawai di BPS Kabupaten Bandung masalah umum yang sering timbul dalam ...
Evi Samsudin, Ade Yuliana
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