What Does CPCA Stand For?
CPCA stands for Consensus Principal Component Analysis
Consensus Principal Component Analysis (CPCA) is a statistical technique that combines multiple sets of principal component analyses to identify consistent patterns and structures across different datasets. By aggregating the results, CPCA enhances the robustness and interpretability of the findings, making it a valuable tool in data integration and comparative studies. This method is particularly useful in fields such as genomics, finance, and social sciences, where datasets may vary in size or complexity but still contain overlapping information.
Added on 14th April 2008 | Last edited on 17th June 2025 | Edit Acronym