Algorithm Development for Clustering Dynamic Simulation Model Output

The project involves developing and testing an algorithm for clustering oscillatory time-series data that is generated by dynamic simulation models. The team is expected to review alternative approaches from data mining and pattern recognition fields, and apply them on a sample dataset in order to compare and contrast the performance of alternative approaches.

Skills Required:

Team Members: 
Berk Görgülü
In Progress