Abstract
However, in some scenarios, such as clinical trials, the number of data points is limited (given the difficulty in collecting samples from many individuals), and the amount of information collected is high (think of how much information labs give us based on small samples of collected blood).
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© 2018 V Kishore Ayyadevara
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Ayyadevara, V.K. (2018). Principal Component Analysis. In: Pro Machine Learning Algorithms . Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3564-5_12
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DOI: https://doi.org/10.1007/978-1-4842-3564-5_12
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