how to classify neural networks what is dimensionality reduction data what is the dimensionality of the data for each trial what is the feature vector for each observation is pca followed by lda how to do a dimensionality reduction in lda what is pca and lda which is the best way to classify trial data do trials contain dimensionality does pca and lda make sense which step of the classifier can be used for trial data what is pca and lda what is the dimensionality of a trial how does the linear classification algorithm work which method would be best for classifying lda data? what is the feature vector for each observation is pca lda can pca classify a data set? what is the function of the dimensionality what is the feature vector for each observation of a trial?