Table 2.

A list of various feature clustering, selection and dimensionality reduction algorithms available in iFeature

Type of functionality	Algorithm
Feature clustering	K-means (kmeans)
	Hierarchical clustering (hcluster)
	Mean shift (meanshift)
	DBSCAN (dbscan)
	Affinity propagation (apc)
Feature selection	Chi-square test (CHI2)
	Information gain (IG)
	Mutual information (MIC)
	Pearson's correlation coefficient (pearsonr)
Dimensionality reduction	Principal component analysis (PCA) Latent Dirichlet allocation (LDA) t-Distributed Stochastic Neighbor  Embedding (t-SNE)