Principal Component Analysis [PCA]

    « Back to Glossary Index
    Categories: Data Science

    Mainly used as a tool in exploratory data analysis, Principal component analysis (PCA) simplifies the complexity of high-dimensional data, usually by transforming the data into fewer dimensions but still retains most of the information.

    « Back to Glossary Index
    Previous articlePivot Table
    Next articleR-Squared
    Justin Chan
    Dr Chan founded (DDI) and is the CEO for JCube Capital Partners. Specialized in strategy development, alternative data analytics and behavioral finance, Dr Chan also has extensive experience in investment management and financial services industries. Prior to forming JCube and DDI, Dr Chan served in the capacity of strategy development in multiple hedge funds, fintech companies, and also served as a senior quantitative strategist at GMO. A published author at professional journals in finance, Dr. Chan holds a Ph.D. degree in finance from UCLA.