When you work with big data, you often deal with both a large number of observations and a large number of features. When the number of features is large, they can be highly correlated, resulting in significant amount of redundancy in the data. Principal component analysis can be a very
Tag: principal component analysis
Principal Component Analysis for Dimensionality Reduction
Solving crime – and more – with principal component analysis
Imagine you're an investigator sorting through 6,000 mug shots taken at different jails around the state. You are tasked with finding all the mug shots of a high-profile con artist who has been arrested in multiple cities using a number of different aliases over the last five years. How can
Multi-stage modeling delivers the ROI for internet of things
Gartner has stated that there are nearly five billion connected devices throughout the world today and predicts that there will be more than 25 billion by 2020, making the potential of this technology unlimited. The connected devices in industrial settings, in personal devices, and in our homes are creating a