Information Selection Extension includes:

Instance selection algorithms such as:

•     CNN - Condensed Nearest Neighbor Rule
•     ENN - Edited Nearest Neighbor Rule
•     RENN - Repeated Edited Nearest Neighbor Rule
•     All k-NN
•     RNG - Relative Neighbor Graph
•     GE - Gabriel Editing
•     ELH - Encoding Length Heuristic
•     RMHC – Random Mutation Hill Climbing
•     IB2
•     IB3
•     Random Selection
•     Weka Drop1-5
•     Weka ICF
•     Some other Instance Selection algorithms from Weka

Ensemble Instance Selection algorithms such as:

•     Ensemble Instance Selection by Bagging
•     Ensemble Instance Selection by Voting
•     Ensemble Instance Selection by Feature Subset
•     Ensemble Instance Selection additional Noise

Generalized Instance Selection

•     Generalized ENN
•     Generalized CNN

Competitive based Neural Networks such as:

•     LVQ1
•     LVQ2
•     LVQ2.1
•     LVQ3
•     OLVQ
•     Weighted LVQ
•     SNG – Supervised Neural Gas
•     Winer Takes Most LVQ
•     Generalized LVQ

Clustering algorithms such as:

•     Fuzzy c-means
•     Vector Quantization
•     Conditional Fuzzy c-Means

Feature set reduction algorithms

•     MDS Multidimensional Scaling  (use external library: Creative Commons License) - this operator is switched off because of incompatible licenses
•     Feature Selection based on Infosel++ Package (requires external c++ library)

Performance metrics for:

•     Instance selection
•     Clustering

Some other useful operators