This paper proposes Shared Component Analysis (SCA) as an alternative to Principal (PCA) for the purpose of dimensionality reduction neuroimaging data. The trend towards larger numbers recording sensors, pixels or voxels leads richer data, with finer spatial resolution, but it also inflates cost storage and computation risk overfitting. PCA can be used select a subset orthogonal components that...

The purpose of this study was determining the relationship between somatotype and selected physical fitness variables in 6-11 years-old girls. The subjects of this study consisted of 282 healthy girls with mean age of 08.44±01.40 years old, height of 129.88±10.48 cm and weight of 30.43±07.93 kg. Standard anthropometric methods were used to determine body mass, body height and all of skinfold an...

Principal component analysis (PCA) is often used for analyzing data in the most diverse areas. In this work, we report an integrated approach to several theoretical and practical aspects of PCA. We start by providing, intuitive accessible manner, basic principles underlying PCA its applications. Next, present a systematic, though no exclusive, survey some representative works illustrating poten...