word
dimensionality reduction
dih-men-shuh-NAL-ih-tee rih-DUK-shun
dɪˌmɛnʃəˈnælɪti rɪˈdʌkʃənListen
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Syllable breakdown
dimensionalityreduction
Dictionary meaning
the process of reducing the number of input variables or features in a dataset while retaining as much relevant information as possible; addresses the curse of dimensionality whereby high-dimensional data becomes sparse and distance metrics lose meaning; principal component analysis projects data onto orthogonal directions of maximum variance, t-SNE and UMAP preserve local neighbourhood structure for visualisation, and autoencoders learn compressed representations in deep learning pipelines
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