Simple kd-Trees Source Code
This package contains source code for the simkd kd-tree implementation.
Sparse K Nearest Neighbor
This program performs fast sparse K Nearest Neighbor classification.
Sparse Naive Bayes Classifier
This program performs fast sparse Naive Bayes Classifier classification.
Dense Naive Bayes Classifier
This program performs fast dense Naive Bayes Classifier classification.
Fast EM Clustering
Rapid Learning of Gaussian Mixture Models from large datasets.
This program constructs a kd-tree from the contents of an input dataset of k-dimensional vectors, and then performs nearest neighbor searches within the kd-tree using query points from a query dataset.
Dense K Nearest Neighbor
This program performs fast dense K Nearest Neighbor classification.
The XGDA Learn software takes link information as input, and learns groups, subgroups and friends (i.e., most likely collaborators) from that link information.
A collection of fast classifiers including knn, aknn, naive bayes, decision tree, and logistic regression.
TCWI (T-Cube Web Interface)
Front end for interactive visualization, navigation, and analysis of multidimensional time series data