Can I read PCA for Interval-Valued Data Analysis on EtoBox?

PCA for Interval-Valued Data Analysis by Anonymous BvUL7MRP is a document available to read on EtoBox.

What is PCA for Interval-Valued Data Analysis about?

This document describes a principal component analysis (PCA) method for non-precise interval data. Interval data represents real-world phenomena that cannot be measured precisely but are defined by a minimum and maximum value. The proposed method, called midpoints-ranges PCA (MR-PCA), treats PCA on interval data by analyzing the midpoints and ranges of the intervals separately. It aims to account for both the natural variability of phenomena and variability due to measurement imprecision or uncertainty.

Author

Anonymous BvUL7MRP

Language

EN