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Where principal component analysis can potentially be used ? some examples with some explanation would be great

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  • $\begingroup$ Link through the pca tag you added: you will be presented with a large list of many examples with explanations. $\endgroup$ – whuber Nov 4 '18 at 15:54
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Searching on ScienceDirect with a keyword Principal Component Analysis might give you a nice overview of the range of disciplines where PCA is used, as well as the type of problems in which PCA succeeds.

PCA, in general, applies to high-dimensional data sets (meaning ones that are described by many parameters) but which contain lower-dimensional structures (meaning they can be almost as well described by a lower number of "substitute" parameters, called principal components). These data sets might come from various fields: neuroscience, climate science, combustion, to name a few.

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