Package implements decision tree and isolation forest
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Updated
Jun 9, 2017 - Java
Package implements decision tree and isolation forest
Package implements a number local outlier factor algorithms for outlier detection and finding anomalous data
A Java program to cluster a dataset in CSV format using k-means clustering
An open-source tool for performing feature selection process in different areas of research
Package provides the direct java conversion of the origin libsvm C codes as well as a number of adapter to make it easier to program with libsvm on Java
Tracks animal movement in an mp4 file or web cam. Currently implemented to track mice and determine features such as its speed, distance traveled, time spent near walls, etc.
Package provides java implementation of algorithms in the field of adaptive resonance theory (ART)
Package provides java implementation of self-organizing feature map (Kohonen map)
A java library providing a configurable neural network. Supports supervised learning and genetic algorithm.
Fast and Scalable Outlier Detection with Sorted Hypercubes
Application for preprocessing, analysis and anomaly detection of US stock market data on multiple clusters using Apache Spark
Behaviour Tree Evolution in QUAKE 2-D
A platform that offers a better gaming experience by matching users by their personalities using unsupervised learning techniques, built as the graduation project for CS Bachelor's degree.
Working on bug classification
Implementation of the Affinity Propagation clustering algorithm on a geo-tagged data set for clustering purposes.
Given infinite possibilities, an AI agent learns the optimal path towards its goal from any starting point while avoiding obstacles.
Content-Based Image File Renaming Tool
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