ISOMAP Resources

Showing items tagged with "ISOMAP"

Classical manifold learning algorithm ISOMAP for data preprocessing, which discovers intrinsic data structures through geodesic distance computation on neighborhood graphs. The mapped low-dimensional representation enables further operations like classification and regression. Experimental results on software engineering datasets demonstrate ISOMAP's superior performance over PCA. The implementation includes key functions for neighborhood graph construction, shortest path calculation, and multidimensional scaling.

MATLAB 231 views Tagged

A comprehensive dimensionality reduction MATLAB toolbox featuring implementations of LLE, ISOMAP, NPE, and other algorithms with demonstrated effectiveness and practical applications

MATLAB 216 views Tagged

This toolbox encompasses a diverse collection of dimensionality reduction algorithms, featuring traditional methods like PCA and Local PCA alongside classical manifold learning techniques such as Isomap, LLE, HLLE, Laplacian Eigenmaps, and Local Tangent Space Alignment. Each algorithm includes implementation insights and parameter configuration guidance for practical applications.

MATLAB 198 views Tagged