BioMed Research International / 2014 / Article / Tab 9 / Review Article
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