Kernel PCA for type Ia supernovae photometric classification

Emille E. O. Ishida, Rafael S. de Souza

In this work, we propose the use of Kernel Principal Component Analysis (KPCA) combined with k = 1 nearest neighbour algorithm (1NN) as a framework for supernovae (SNe) photometric…