Software

To install any software please see the instructions in installing Auton software.

Name	Short description	Actions
Activity Prediction from Links	AFDL stands for Activity From Demographics and Links.	show
Bayes Net Learner	This program learns Bayesian network structure from categorical data.	show
cGraph	CGraph is an algorithm to quickly learn a graph-based model of the underlying connections of a set of entities given link data.	show
convert	Utility to convert between various file formats used by the Auton Lab software.	show
convert_csv2fds	Converts a CSV file into Auton Lab FDS format.	show
Cuevas CFF Clustering	Cuevas uses the 2-step CFF algorithm to perform clustering against a noisy background.	show
Dense Association Rules	This program efficiently searches for high scoring association rules given dense data.	show
Dense K Nearest Neighbor	This program performs fast dense K Nearest Neighbor classification.	show
Dense Logistic Regression	This program performs fast dense Logistic Regression classification.	show
Dense Naive Bayes Classifier	This program performs fast dense Naive Bayes Classifier classification.	show
Fast Classifiers	A collection of fast classifiers including knn, aknn, naive bayes, decision tree, and logistic regression.	show
Fast EM Clustering	Rapid Learning of Gaussian Mixture Models from large datasets.	show
k-groups/GDA	The group detection algorithm (GDA) finds underlying groupings of entities given a set of observed links and demographic information.	show
K-means		show
Level Set Detection	Code supporting the thesis work of Dr. Brent Bryan	show
lr_trirls	This is a logistic regression implementation using our truncated regularized iteratively re-weighted least squares (TR-IRLS) algorithm.	show
Many Names One Person	This program will identify the most likely aliases for a given query name, using a semi-supervised learning approach. The program will then ask the user to confirm the validity of these most likely aliases.	show
MDP and Reinforcement Learning Visualization		show
npt	N-point Spatial Statistics.	show
SBNS	Screen-based Bayes Net Structure search. A computationally efficient algorithm that performs Bayes Net structural learning from a very large binary dataset.	show
Scan Statistics	A fast implementation of scan statistic search for spatial overdensities. Our goal is to find rectangular regions where the count (e.g. number of disease cases) is higher than expected, given the underlying population distribution.	show
Simple kd-Trees	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.	show
Simple kd-Trees Source Code	This package contains source code for the simkd kd-tree implementation.	show
Sparse K Nearest Neighbor	This program performs fast sparse K Nearest Neighbor classification.	show
Sparse Logistic Regression	This program performs fast sparse Logistic Regression classification.	show
Sparse Naive Bayes Classifier	This program performs fast sparse Naive Bayes Classifier classification.	show
Vizier	Old but fast locally weighted regression for Windows.	show
WSARE	This program takes as input a date-indexed biosurveillance data stream such as Emergency Department data, and looks for recent strange events.	show
XGDA Learn	The XGDA Learn software takes link information as input, and learns groups, subgroups and friends (i.e., most likely collaborators) from that link information.	show