Frequent item set mining and association rule mining.
Classification algorithms.
Clustering analysis.
Data manipulation functions.
Feature generation, normalization and selection.
Missing value imputation.
Manifold learning finds a low-dimensional basis for describing high-dimensional data.
Mathematical and statistical functions.
Multidimensional scaling.
Natural language processing.
Data visualization.
Feature extraction.
Input operators.
Regression analysis.
Learning algorithms for sequence data.
Utility functions.
Model validation.
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.
Output operators.