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 ...
Hermita Bus Umar
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Classification of Anemia Images Based on Principal Component Analysis (PCA)
Al-Mustansiriyah Journal of Science, 2017 Blood cells are composed of erythrocytes (Red Blood Cells (RBCs)), the shape of RBC changes when the body suffers from different diseases such as Anemia.
Asma I. Hussein, Nidaa F. Hassan
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Moving objects classification via category-wise two-dimensional principal component analysis [PDF]
Applied Computing and Informatics, 2022 Classifying moving objects in video sequences has been extensively studied, yet it is still an ongoing problem. In this paper, we propose to solve moving objects classification problem via an extended version of two-dimensional principal component ...
Falah Alsaqre, Osama Almathkour
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Principal Component Analysis in advanced breeding lines of oat (A. sativa × A. sterilis)
Electronic Journal of Plant Breeding, 2023 One hundred advanced oat lines involving two checks were assessed for genetic variability and diversity based on 15 agro-morphological traits by using principal component analysis.
Nagesh Bichewar1*, A. K. Mehta1, Kadthala Bhargava2 and S. Ramakrishana1
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Designing a quality monitoring network of Gonabad Aquifer using principal component analysis (PCA) method [PDF]
Water Harvesting Research, 2021 In order to efficiently manage groundwater resources, determination of the main sampling points is very important to reduce sample size and save time and cost.
Samira Rahnama +3 more
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PCA of PCA: principal component analysis of partial covering absorption in NGC 1365 [PDF]
Monthly Notices of the Royal Astronomical Society, 2014 We analyse 400 ks of XMM-Newton data on the active galactic nucleus NGC 1365 using principal component analysis (PCA) to identify model independent spectral components. We find two significant components and demonstrate that they are qualitatively different from those found in MCG?6-30-15 using the same method.
Parker, M. L. +3 more
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Principal component analysis and its generalizations for any type of sequence (PCA-Seq)
Вавиловский журнал генетики и селекции, 2020 In the 1940s, Karhunen and Loève proposed a method for processing a one-dimensional numeric time series by converting it into multidimensional by shifts. In fact, a one-dimensional number series was decomposed into several orthogonal time series.
V. M. Efimov +2 more
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Five Year Retrospective Case Series of Adnexal Torsion [PDF]
Journal of Clinical and Diagnostic Research, 2014 Aims and Objectives: Adnexal torsion is a rare gynaecological emergency that requires an early surgical intervention to save the adnexa from irreversible damage .Our study is about clinical presentation and management approach of adnexal torsion in a
Sobha Nair, Smitha Joy, Jayashree Nayar
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The richness of diversity in a core collection of bread wheat (Triticum aestivum L.)
Electronic Journal of Plant Breeding, 2018 Diversity evaluation provides opportunity to assess genetically important distinct traits that will effectively contribute to improvement of genotypes. Assessing genetic diversity in a core collection is key to find out the ways to efficient utilization
Vivek Sharma +4 more
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Sizing the Shape: Understanding Morphometrics [PDF]
Journal of Clinical and Diagnostic Research, 2015 Purpose: One of the most fundamental limitations associated with the conventional cephalometrics is its inability to delineate size from shape as it depends mainly on linear and angular measurements.
Neha
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