Which of the following is NOT a dimensionality reduction technique?

Group of answer choices

PCA $($Principal Component Analysis$)$

K$-$means clustering

t$-$SNE $($t$-$distributed Stochastic Neighbor Embedding$)$

LDA $($Linear Discriminant Analysis$)$