All Packages
Package Summary
Package
Description
Anomaly detection is the identification of rare items, events
or observations which raise suspicions by differing significantly from
the majority of the data.
Frequent item set mining and association rule mining.
Classification and regression tree base package.
Multilayer perceptron neural network base package.
RBF network base package.
Support vector machine base package.
Classification algorithms.
Clustering analysis.
Cluster dissimilarity measures.
Feature extraction.
Feature importance.
Missing value imputation.
Feature selection.
Generalized linear models.
The error distribution models.
Hyperparameter optimization.
Manifold learning finds a low-dimensional basis for describing
high-dimensional data.
Regression analysis.
Learning algorithms for sequence data.
Time series analysis.
Model validation and selection.
Model validation metrics.
Vector quantization is a lossy compression technique used in speech
and image coding.
Hebbian theory is a neuroscientific theory claiming that an increase in
synaptic efficacy arises from a presynaptic cell's repeated and persistent
stimulation of a postsynaptic cell.