ARM-Stream: Active Recovery of Miscategorizations in Clustering-Based Data Stream Classifiers

With dynamic fields

Reference implementation for MINAS (MultI-class learNing Algorithm for data Streams), an algorithm to address novelty detection in data streams multi-class problems.

A Clustering-based Data Stream Classification framework using Active Learning

C implementation of the BIRCH algorithm, an unsupervised data mining algorithm which is used to perform hierarchical clustering over particularly large data-sets.

This program can be used to plot the structure of a protein in the 2D HP model.

Implementation of the Particle Swarm Optiomization algorithm for the Protein Structure Prediction problem using 2D HP model. This approach includes the pull move heuristic for local search.

Implementation of the Ant Colony Optimization meta-heuristic for the Protein Structure Prediction problem using 2D HP model. This approach includes the pull move heuristic for local search.

Particle Swarm Optimization Graphical Simulatio

PCF compatible MINAS (MultI-class learNing Algorithm for data Streams). An algorithm to address novelty detection in data streams multi-class problems.

Pattern Categorization Framework

Semi-supervised framework for classifying evolving data streams