Midterm Exam #2 - Hands On Session
Midterm Exam #2 - Hands On Session¶
FIZ228 - Numerical Analysis
Dr. Emre S. Tasci, Hacettepe University
17/05/2024
Classify the 4-dimensional data of 120 points listed in the FIZ228_20232_MT2_HandsOnExam_data.csv file via k-means clustering method into 5 classes.
Output should contain:
The association of each point into their corresponding mean
Position of the means
Zip your .ipynb file as “FIZ228_20232_MT2_YourName.zip”(*) (don’t use Turkish characters as it may result in error!) and upload it to hadi.
(*) this time you don’t need to produce an html version (it’s a little bit complicated via colab), only the ipynb file is sufficient – we are actually archiving it because hadi doesn’t accept ipynb files.