EXCERT from http://www.statmethods.net/advstats/
Predictive models
Under predictive models, we have
generalized linear models (include logistic regression, poisson regression, and survival analysis),
discriminant function analysis (both linear and quadratic), and
time series modeling.
Latent Variable Models
This includes
factor analysis (principal components, exploratory and confirmatory factor analysis),
correspondence analysis, and
multidimensional scaling (metric and nonmetric).
Partitioning Methods
Cluster Analysis includes partitioning (k-means), hierarchical agglomerative, and model based approaches.
Tree-Based methods
(which could easily have gone under predictive models!) include
classification and regression trees, random forests, and other
partitioning methodologies.
