Dimensionality Reduction Ensembles

11 Oct 2017 Colleen M. Farrelly

Ensemble learning has had many successes in supervised learning, but it has been rare in unsupervised learning and dimensionality reduction. This study explores dimensionality reduction ensembles, using principal component analysis and manifold learning techniques to capture linear, nonlinear, local, and global features in the original dataset... (read more)

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