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Summary of Dimensionality Reduction Algorithms in Machine Learning

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Recently, I have been looking at some dimensionality reduction algorithms. This article first provides an information table summarizing seven algorithms, including the (hyper)parameters that can be adjusted for each algorithm, the main objectives of the algorithms, and so on. Then, it introduces some basic concepts of dimensionality reduction, including what dimensionality reduction is, why it … Read more

Comparison Summary of 10 Nonlinear Dimensionality Reduction Techniques in Machine Learning

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Comparison Summary of 10 Nonlinear Dimensionality Reduction Techniques in Machine Learning

Approximately 3800 words, recommended reading time 6 minutes. This article introduces 10 nonlinear dimensionality reduction techniques in machine learning. Dimensionality reduction means reducing the number of features in a dataset without losing too much information. Dimensionality reduction algorithms fall under the category of unsupervised learning, training algorithms with unlabeled data. Although there are many types … Read more