Frequent item set mining and association rule mining.
Feature generation, normalization and selection.
Missing value imputation.
Manifold learning finds a low-dimensional basis for describing high-dimensional data.
Mathematical and statistical functions.
Natural language processing.
Learning algorithms for sequence data.
Originally used for data compression, Vector quantization (VQ) allows the modeling of probability density functions by the distribution of prototype vectors.
A wavelet is a wave-like oscillation with an amplitude that starts out at zero, increases, and then decreases back to zero.