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Cluster Sorting, Analysis and 3D-Display

JCluster is a program that efficiently sorts, analyzes, and visually displays data for mapping the neuro-network of dragonflies. It uses a robust clustering algorithm and OpenGL library for 3D graphics. Written in C++, JCluster provides multi-variant analysis and textural representation of information, helping users interpret the data effectively.

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Cluster Sorting, Analysis and 3D-Display

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  1. Cluster Sorting, Analysis and 3D-Display For the Mapping of the Dragonfly’s Neuro-Network Advisor: Prof. Hannay Client: Prof. Olberg (Biology)

  2. Agenda • Background • Problem • Solution

  3. Background • Learning more about Dragonflies • Current Procedure

  4. Problem • How can I interpret this data • Current Solutions

  5. My Solution • Develop a program that sorts, analyses, and displays data.

  6. Priorities • Good sorting algorithm • Good graphical displays • Meets requirements of client • Robustness, Modularity • Completed program

  7. JCluster • Written in C++ • Uses OpenGL library for 3D graphics • Clustering Algorithm

  8. Why C++ • Documented as still the “faster” language • Allows for Object-Oriented design • Works very well with OpenGL graphics

  9. OpenGL • Widely used graphics library • Allows for 3-dimensional graphics display • Language very similar to C++

  10. Program Design • 4 Main Parts: GUI, Algorithm (Back-End), I/O, and Graphics

  11. GUI • Created using MFC as part of Visual C++ • One of many potential designs

  12. Algorithm • Euclidean Distances used • Variables Standardized • Admittance based on centroid distance • Variable Reduction on high-dimensional graphs

  13. Back-End Procedure • Data comes in as streams on numbers • Converted into Peak classes • Peak variables are given values • Peaks are sorted into clusters

  14. Graphics • Clusters of Peaks are sent to graphics object • Clusters are color coded • Window is 360o rotation around X and Y-axis

  15. Log File • File gives text representation of data • Identifies each cluster and the number of peaks • Average values within clusters • Factors taken into consideration • Date and Time

  16. What does JCluster do for me? • Cluster Sorting • Multi-Variant Analysis • 3-Dimensional and Textural representation of information

  17. Problems • Finding GUI library • Finding right algorithm • Design • Transition to C++

  18. What Have I Learned • More proficient at C++ • Greater sense of “larger”-scale programs • Better understanding of algorithms • Interaction with client • Time Management for long-term projects

  19. What’s Next? • List of add-on’s • Looking for better GUI library • User manual and help pages

  20. Any Questions?

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