Results 1 to 10 of about 14,660 (227)
Canonical correlation analysis (CCA) of anthropometric parameters and physical activities with blood lipids [PDF]
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]
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
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]
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
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]
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
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
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
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]
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

