Document worth reading: “Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review”

Pattern analysis usually requires a pre-processing stage for extracting or selecting choices in order to help the classification, prediction, or clustering stage discriminate or signify the data in a better means. The motive for this requirement is that the raw information are superior and robust to course of with out extracting or selecting acceptable choices beforehand. This paper opinions concept and motivation of varied widespread methods of attribute alternative and extraction and introduces a couple of of their capabilities. Some numerical implementations are moreover confirmed for these methods. Finally, the methods in attribute alternative and extraction are in distinction. Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review