can we implement PCA for lets 10 subjects 3 repeated trials with each trial 101 samples and variable vertical-GRF i.e. 101*30 input matrix
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Principal Component Analysis
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Kartik Mittal
2018년 9월 25일
My understanding of the problem is that you have 101 data points, each with 30 attributes? If that is the case, you can use PCA. But I am not sure you have a correct feature vector for what you are calling the data points (samples). If you have 10 subjects, with 3 trials, how are they attributive of one sample? In your case PCA would make sense if there is some correlation between trials, like stages of an experiment or something.
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Kartik Mittal
2018년 9월 28일
Thanks for the information, it makes the case clear that you will have repeated measures as your data points (given all the trials are with one experimental condition). Hence, PCA would not be an obvious choice for what you wish to do. Check this link - https://stats.stackexchange.com/questions/18617/can-i-do-a-pca-on-repeated-measures-for-data-reduction
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