FisherEM: The FisherEM Algorithm to Simultaneously Cluster and Visualize High-Dimensional Data
Charles Bouveyron, Camille Brunet & Nicolas Jouvin. · 2011
The FisherEM algorithm, proposed by Bouveyron & Brunet (2012) , is an efficient method for the clustering of high-dimensional data. FisherEM models and clusters the data in a discriminative and low-dimensional latent subspace. It also provides a low-dimensional representation of the clustered data. A sparse version of Fisher-EM algorithm is also provided.