Machine Learning, Data Science, R Programming, Neural Networks, Towards Data Science.
showed in the previous example, some properties that present low variance are not useful, it will make the examples look the same. On the other hand, PCA looks for properties that show as much variation across classes as possible to build the principal component space. The algorithm use the