A Review of Feature Extraction Software for Microarray Gene Expression Data

Table 9

A summary of LLE software.

Number	Software	Author/year	Language	Features
1	lle	Diedrich and Abel [34]	R	(i) LLE algorithm is provided for transforming high-dimensional data into low-dimensional data; (ii) Selection of subset and calculation of the intrinsic dimension are provided
2	RDRToolbox	Bartenhagen [35]	R	(i) LLE and Isomap for feature extraction; (ii) Davis-Bouldin Index for the purpose of validating clusters
3	Scikit-learn	Pedregosa et al. [36]	Python	(i) Classification, manifold learning, feature extraction, clustering, and other methods are offered; (ii) LLE, Isomap, and LTSA are provided