Search Results for "community detection algorithm"

Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM...

...This feature can be used for tracking prisoners, attendance and signing in to user accounts. The Viola - Jones Algorithm presents a novel face detection technique, we would implement this technique for face detection and then use eigen faces method to recognize the person in the image. Once recognized the person can easily sign in to any applications without the need of typing passwords or usernames.

A paint program where the canvas is the visual cortex of a simple kind of artificial intelligence. You paint with the mouse into its dreams and it responds by changing what you painted gradually. There will also be an API for using it with other programs as a general high-dimensional space. Each pixel's brightness is its own dimension. Bayesian nodes have exactly 3 childs because that is all thats needed to do NAND in a fuzzy way as Bayes' Rule which is NAND at certain extremes. NAND can be...

This project aims to develop a method to identify communities in a social network according to some point of view.

Multi-Partite Community Detection - community detection (aka graph clustering) in k-partite k-uniform hypergraphs

weka outlier is an implementation of outlier detection algorithms for WEKA. CODB (Class Outliers: Distance-Based) Algorithm is the first algorithm developed using WEKA framework.

Reimplementation of the anomaly detection/one-class classification algorithm 'V-detector'.