# Software

Name | Short description | Actions |
---|---|---|

Active Model Fitting | Active Model Fitting | show |

AFDL (Activity From Demographics and Links) | Predicting activity of entities from linkages between entities and their demographics | 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 |

Direct Robust Matrix Factorization (DRMF) | Matlab code for direct robust matrix factorization and its use for video background extraction. | 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 |

Group Anomaly Detection Software | Matlab code of probabilistic models for group anomaly detection. | 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 | |

Nonparametric Divergence Estimation | C++ and pure Matlab implementations of nonparametric divergence estimation. | 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 |

Source Code: Maximum Margin Output Coding | Multi-label Output Code using Canonical Correlation Analysis | show |

Source Code: Multi-Label Output Codes using Canonical Correlation Analysis | Multi-label Output Code using Canonical Correlation Analysis | 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 |

Support Distribution Machines | C++ 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 data | 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 |