Adaptive local hyperplane algorithm for learning small medical data sets

A learning algorithm for adaptive canoni

A learning algorithm for adaptive canonical correlation analysis of several data sets

✍ Javier Vía; Ignacio Santamaría; Jesús Pérez 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 983 KB

Canonical correlation analysis (CCA) is a classical tool in statistical analysis to find the projections that maximize the correlation between two data sets. In this work we propose a generalization of CCA to several data sets, which is shown to be equivalent to the classical maximum variance (MAXVA