Results 1 to 10 of about 14,660 (227)

Canonical correlation analysis (CCA) of anthropometric parameters and physical activities with blood lipids [PDF]

open access: yesLipids in Health and Disease, 2017
Background Anthropometric parameters and physical activities are significant factors influencing lipid levels, but few research have demonstrated the effect of amount of activities on lipid levels.
Na Yu   +5 more
doaj   +6 more sources

Pengenalan Wajah Dengan Algoritma Canonical Correlation Analysis (CCA) [PDF]

open access: yesJurnal Teknik ITS, 2012
Pada tugas akhir ini akan dilakukan proses pengenalan wajah dengan menggunakan algoritma CCA (Canonical Correlation Analysis). CCA digunakan untuk mengukur hubungan linear yang saling berkorelasi antara dua variable multidimensi. CCA dapat juga digunakan
Ratna Dwi Kartika Rini   +2 more
doaj   +5 more sources

Canonical Concordance Correlation Analysis

open access: yesMathematics, 2022
A multivariate technique named Canonical Concordance Correlation Analysis (CCCA) is introduced. In contrast to the classical Canonical Correlation Analysis (CCA) which is based on maximization of the Pearson’s correlation coefficient between the linear ...
Stan Lipovetsky
doaj   +2 more sources

Effects of environmental factors on species diversity of rotifers using biodiversity indicators and canonical correlation analysis (CCA) [PDF]

open access: yesبوم‌شناسی آبزیان, 2017
Rotifers are microscopic aquatic animals of phylum Rotifera, live in a diverse range of aquatic habitats. They are important in ecology of freshwater ecosystems by recycling nutrients and can alter trophic dynamic of planktonic communities.
Nabat Naqshbandi   +2 more
doaj   +1 more source

Correlation Analysis on Semiconductor Process Variables Using CCA(Canonical Correlation Analysis) : Focusing on the Relationship between the Voltage Variables and Fail Bit Counts through the Wafer Process

open access: yesJournal of Korean Institute of Industrial Engineers, 2015
Seung Min Kim․Jun-Geol BaekSchool of Industrial Management Engineering, Korea UniversitySemiconductor manufacturing industry is a high density integration industry because it generates a vest number of data that takes about 300~400 processes that is supervised by numerous production parameters.
Jun-Geol Baek
exaly   +3 more sources

Supervised Canonical Correlation Analysis Based on Deep Learning [PDF]

open access: yesJisuanji gongcheng, 2022
Canonical Correlation Analysis (CCA) is a multivariate statistical method, which uses the correlation between comprehensive variable pairs to reflect the overall correlation between two groups of indicators.The traditional CCA method can not effectively ...
ZHANG Heng, CHEN Xiaohong, LAN Yuxiang, LI Shunming
doaj   +1 more source

Improvement of the Classification Accuracy of Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces by Combining L1-MCCA with SVM

open access: yesApplied Sciences, 2021
Canonical correlation analysis (CCA) has been used for the steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) for a long time. However, the reference signal of CCA is relatively simple and lacks subject-specific information.
Yuhang Gao   +7 more
doaj   +1 more source

A Gene Clustering Algorithm Based on the CCA-Hierarchical Clustering

open access: yesJournal of Harbin University of Science and Technology, 2023
Aiming at the massive gene expression data brought by gene chip technology , in order to fully mine the biological information and potential biological mechanisms contained in it , this paper proposes a gene clustering algorithm based on CCA-
LIN Qianmin
doaj   +1 more source

A Precise Frequency Recognition Method of Short-Time SSVEP Signals Based on Signal Extension

open access: yesIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Objective: Improving the Information Transfer Rate (ITR) is a popular research topic in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs).
Hui Li   +9 more
doaj   +1 more source

Chunk Incremental Canonical Correlation Analysis [PDF]

open access: yesJisuanji kexue yu tansuo, 2022
For the large-scale dynamic data stream, incremental learning is an effective and efficient technique and is widely used in machine learning. Incremental dimensionality reduction algorithms have been proposed by many scholars.
PAN Yu, CHEN Xiaohong, LI Shunming, LI Jiyong
doaj   +1 more source

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