The FisherEM Algorithm to Simultaneously Cluster and Visualize High-Dimensional Data
The Bayesian Fisher-EM algorithm.
Adjusted Rand index
The Fisher-EM algorithm
The FisherEM Algorithm to Simultaneously Cluster and Visualize High-Di...
Plotting function
The plot function for 'fem' objects.
The print function for 'fem' objects.
The sparse Fisher-EM algorithm
Experimental setting of the chapter BFEM
The FisherEM algorithm, proposed by Bouveyron & Brunet (2012) <doi:10.1007/s11222-011-9249-9>, 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.