Results 41 to 50 of about 851,900 (211)

FINGERPRINT ANALYSIS OF Stevia rebaudiana USING HIERACHIAL CLUSTER ANALYSIS (HCA) AND PRINCIPAL COMPONENT ANALYSIS (PCA)

open access: yesMajalah Obat Tradisional, 2016
Bioactivity herbal plant is influenced by its active compounds and consistency. Stevia rebaudiana contains bioactive compounds, diterpene glycosides which have antidiabetes activity.
Yohanes Martono   +3 more
doaj   +1 more source

Determining Principal Component Cardinality through the Principle of Minimum Description Length

open access: yes, 2019
PCA (Principal Component Analysis) and its variants areubiquitous techniques for matrix dimension reduction and reduced-dimensionlatent-factor extraction. One significant challenge in using PCA, is thechoice of the number of principal components.
A Blumer   +18 more
core   +1 more source

Phantom oscillations in principal component analysis

open access: yesbioRxiv, 2023
Principal component analysis (PCA) is a dimensionality reduction technique that is known for being simple and easy to interpret. Principal components are often interpreted as low-dimensional patterns in high-dimensional data.
Maxwell Shinn
semanticscholar   +1 more source

AR-PCA-HMM approach for sensorimotor task classification in EEG-based brain-computer interfaces [PDF]

open access: yes, 2010
We propose an approach based on Hidden Markov models (HMMs) combined with principal component analysis (PCA) for classification of four-class single trial motor imagery EEG data for brain computer interfacing (BCI) purposes. We extract autoregressive (AR)
Argunsah, Ali Ozgur   +3 more
core   +1 more source

Data mining of particulate matter (PM2.5) using Principal Component Analysis (PCA) in Isfahan [PDF]

open access: yesاکولوژی انسانی
Elevated concentrations of particulate matter (PMs), particularly PM2.5, are significantly influenced by various anthropogenic activities, including industrial processes, population growth, and fossil fuel combustion, especially during peak urban hours ...
Sohrab Hasheminejad   +2 more
doaj   +1 more source

ANALISIS FAKTOR PENYEBAB PENYAKIT JANTUNG MENGGUNAKAN METODE PRINCIPAL COMPONENT ANALYSIS (PCA)

open access: yesJurnal Lebesgue
Factor analysis is an important method in research to identify the underlying structure of complex data. Heart disease is a disease caused by a disturbance in the coronary blood vessels that causes narrowing and blockage so that it can interfere with the
Sudianto Manullang   +7 more
doaj   +1 more source

PRINCIPAL COMPONENT ANALYSIS (PCA) OF THE ACTIVITIES OF INFORMAL CONSTRUCTION WORKERS/ARTISANS IN NIGERIA

open access: yesJournal of Construction Project Management and Innovation, 2014
Every employment has deposit of activities to be performed by her employees. These activities vary with industries and who performs each of these activities is determined by how significance they are to the employment operation.
Sunday Julius Odediran, Olubola Babalola
doaj   +1 more source

High Dimensional Semiparametric Scale-Invariant Principal Component Analysis

open access: yes, 2014
We propose a new high dimensional semiparametric principal component analysis (PCA) method, named Copula Component Analysis (COCA). The semiparametric model assumes that, after unspecified marginally monotone transformations, the distributions are ...
Han, Fang, Liu, Han
core   +1 more source

The principal independent components of images [PDF]

open access: yes, 2010
This paper proposes a new approach for the encoding of images by only a few important components. Classically, this is done by the Principal Component Analysis (PCA).
Arlt, Björn, Brause, Rüdiger W.
core  

Community awareness about disaster preparedness: Principal component analysis (PCA)

open access: yesMajmaah Journal of Health Sciences, 2021
Background and Aim: Responsibility for disaster preparedness is not limit- ed to healthcare institutions and healthcare providers; communities must also be involved. Knowledge of community members’ awareness of disaster preparedness will enhance and strengthen a community’s resilience to disaster.
Abdullelah Thobaity, Modi Moteri
openaire   +1 more source

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