41. Changes in benthic communities are typically quantified using a principle component analysis and classification ( Chapman, 1997 ). 42. Face images usually occupy a high-dimensional space and conventional principal component analysis was intractable on such data sets. 43. Other methods include principal component analysis . 44. Such vectors are sometimes called the Principal Component Analysis , the basis vectors are not required to be orthogonal. 45. :Independent component analysis ( ICA ) is a useful statistical approach in the detection of resting state networks. 46. Projection pursuit has been widely used for blind source separation, so it is very important in independent component analysis . 47. For each area, it learns a separate Principal Component Analysis ( PCA ) basis and reconstructs the area separately. 48. Ordinary principal component analysis ( PCA ) uses a vector space transform to reduce multidimensional data sets to lower dimensions. 49. This is to be contrasted with principal component analysis which seeks to minimize the mean square error of all residuals. 50. By applying principal component analysis to data from " classical genetic markers " ( protein cline with a Near Eastern focus.
