autonlab.org

Software

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

NameShort descriptionActions
Active Model FittingActive Model Fittingshow
AFDL (Activity From Demographics and Links)Predicting activity of entities from linkages between entities and their demographicsshow
Bayes Net LearnerThis program learns Bayesian network structure from categorical data.show
cGraphCGraph is an algorithm to quickly learn a graph-based model of the underlying connections of a set of entities given link data.show
convertUtility to convert between various file formats used by the Auton Lab software.show
convert_csv2fdsConverts a CSV file into Auton Lab FDS format.show
Cuevas CFF ClusteringCuevas uses the 2-step CFF algorithm to perform clustering against a noisy background.show
Dense Association RulesThis program efficiently searches for high scoring association rules given dense data.show
Dense K Nearest NeighborThis program performs fast dense K Nearest Neighbor classification.show
Dense Logistic RegressionThis program performs fast dense Logistic Regression classification.show
Dense Naive Bayes ClassifierThis program performs fast dense Naive Bayes Classifier classification.show
Direct Robust Matrix Factorization (DRMF)Matlab code for direct robust matrix factorization and its use for video background extraction.show
Fast ClassifiersA collection of fast classifiers including knn, aknn, naive bayes, decision tree, and logistic regression.show
Fast EM ClusteringRapid Learning of Gaussian Mixture Models from large datasets.show
Group Anomaly Detection SoftwareMatlab code of probabilistic models for group anomaly detection.show
k-groups/GDAThe group detection algorithm (GDA) finds underlying groupings of entities given a set of observed links and demographic information.show
K-meansshow
Level Set DetectionCode supporting the thesis work of Dr. Brent Bryanshow
lr_trirlsThis is a logistic regression implementation using our truncated regularized iteratively re-weighted least squares (TR-IRLS) algorithm.show
Many Names One PersonThis 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 Visualizationshow
Nonparametric Divergence EstimationC++ and pure Matlab implementations of nonparametric divergence estimation.show
nptN-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 StatisticsA 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-TreesThis 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 CodeThis package contains source code for the simkd kd-tree implementation.show
Source Code: Maximum Margin Output CodingMulti-label Output Code using Canonical Correlation Analysisshow
Source Code: Multi-Label Output Codes using Canonical Correlation AnalysisMulti-label Output Code using Canonical Correlation Analysisshow
Sparse K Nearest NeighborThis program performs fast sparse K Nearest Neighbor classification.show
Sparse Logistic RegressionThis program performs fast sparse Logistic Regression classification.show
Sparse Naive Bayes ClassifierThis program performs fast sparse Naive Bayes Classifier classification.show
Support Distribution MachinesC++ package to classify sample sets from distributions.show
TCWI (T-Cube Web Interface)Front end for interactive visualization, navigation, and analysis of multidimensional time series datashow
VizierOld but fast locally weighted regression for Windows.show
WSAREThis program takes as input a date-indexed biosurveillance data stream such as Emergency Department data, and looks for recent strange events.show
XGDA LearnThe XGDA Learn software takes link information as input, and learns groups, subgroups and friends (i.e., most likely collaborators) from that link information.show
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