Principal Component Analysis (PCA) is a statistical technique used fordata reductionwithout losing its properties. Basically, it describes the composition of variances and covariances through several linear combinations of the primary variables, without missing an important part of the original information....
Principal component analysis, orPCA, is a statistical technique to convert high dimensional data to low dimensional data by selecting the most important features that capture maximum information about the dataset. The features are selected on the basis of variance that they cause in the output. The...