Abstract
In big data scenarios, large numbers of high-dimensional patterns have to be processed. Efficient dimensionality reduction (DR) methods are required for algorithms that can only handle low-dimensional data like weak classifiers.
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Kramer, O. (2014). Particle Swarm Embeddings. In: A Brief Introduction to Continuous Evolutionary Optimization. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-03422-5_8
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DOI: https://doi.org/10.1007/978-3-319-03422-5_8
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