Data Science, Big Data, Data Mining, Data, Feature Engineering.
means and the covariance matrix. The LDA transformation is also dependent on scale, so you should normalize your dataset first. LDA is a supervised, so it needs labeled data. It offers variations (i.e. quadratic LDA) to tackle specific roadblocks. But the new features that are being created are