Using the machine learning MATLAB tutorial:
https://www.mathworks.com/products/demos/machine-learning/cluster_genes/cluster_genes.html
Download your own data set and perform all steps (in the tutorial). Your final document should contain the following:
- Cluster diagram (chart)
- Hierarchical Cluster Tree
- PCA analysis
- K-Means analysis
The code in the tutorial might require
some modifications to run on your sample dataset. Your document should
provide detailed explanation of the results, your prestatistical
analysis, and the charts/diagrams described above. In addition to your
document, upload your MATLAB code and dataset. “Please make certain that you upload the .m file (code) and the .mat file
(data). I need both in order to test your programming.”
I did have a tutor working on this, but they cancelled my question, last minute and it is due by midnight on Tuesday October 12.
Grading Rubric
|
Item |
Description |
Points |
|
Comments |
MATLAB code properly and clearly commented |
25 |
|
Data Set |
Data Set properly explained and each variable is discussed |
25 |
|
Pre-statistical analysis |
Proper pre-analysis conducted to determine if any of the variables are strongly correlated |
25 |
|
Cluster diagram, PCA, K-Means and Hierarchical tree |
Student |
100 |
|
Results |
Results are properly explained and graphed using MATLAB charts |
50 |
|
Format and professionalism |
Report is clearly written explaining every every step taken to create the NN. Third party references are used to support work |
25 |
|
TOTAL |
250 |
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