Machine learning enables machines to learn rules from large amounts of data

so as to classify new samples or make reasonable predictions about the future. This paper introduces the general process of machine learning applied to data analysis by using iris plants database

analyzes and compares typical machine learning methods in data analysis

such as principal component analysis

linear discriminant analysis and K-means clustering

and expounds the practice of machine learning in data analysis.