R: Evaluation Clustering Methods for Disease Subtypes Diagnosis

# Evaluation Clustering Methods for Disease Subtypes Diagnosis

## Documentation for package ‘Evacluster’ version 0.1.0

- DESCRIPTION file.

## Help Pages

Evacluster-package | Evaluation Clustering Methods for Disease Subtypes Diagnosis (Evacluster)
clusterStability | clustering stability function
EMCluster | Expectation Maximization Clustering
Evacluster | Evaluation Clustering Methods for Disease Subtypes Diagnosis (Evacluster)
FuzzyCluster | Fuzzy C-means Clustering Algorithm
getConsensusCluster | Consensus Clustering Results
hierarchicalCluster | hierarchical clustering
kmeansCluster | K-means Clustering
nmfCluster | Non-negative matrix factorization (NMF)
pamCluster | Partitioning Around Medoids (PAM) Clustering
predict.EMCluster | EMCluster prediction function
predict.FuzzyCluster | FuzzyCluster prediction function
predict.hierarchicalCluster | hierarchicalCluster prediction function
predict.kmeansCluster | kmeansCluster prediction function
predict.nmfCluster | nmfCluster prediction function
predict.pamCluster | pamCluster prediction function
predict.tsneReductor | tsneReductor prediction function
tsneReductor | t-Distributed Stochastic Neighbor Embedding (t-SNE)