Functional Principal Component Analysis and Randomized Sparse Clustering Algorithm for Medical Image Analysis

no code implementations • 1 Aug 2014 • Nan Lin, Junhai Jiang, Shicheng Guo, Momiao Xiong

The results demonstrate that the randomized feature selection method coupled with functional principal component analysis substantially outperforms the current sparse clustering algorithms in image cluster analysis.

Clustering Disease Prediction +2