'Data follow' diaporamas de présentation

572 views • 31 slides

Dimensional reduction, PCA

Dimensional reduction, PCA. Curse of dimensionality. The higher the dimension, the more data is needed to draw any conclusion Probability density estimation: Continuous: histograms Discrete: k-factorial designs Decision rules: Nearest-neighbor and K-nearest neighbor.

538 views • 26 slides

Discriminant Analysis

Discriminant Analysis. Useful to classify a sampling unit in one or other group. The discriminant function is a linear combination of several predictor variables. The discriminant function maximizes the between-group variation and minimize the within-group variation. .

799 views • 12 slides