You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
890 B
890 B
Try different clustering methods
Instructions
In this lesson you learned about K-Means clustering. Sometimes K-Means is not appropriate for your data. Create a notebook using data either from these lessons or from somewhere else (credit your source) and show a different clustering method NOT using K-Means. What did you learn?
Rubric
Criteria | Exemplary | Adequate | Needs Improvement |
---|---|---|---|
A notebook is presented with a well-documented clustering model | A notebook is presented without good documentation and/or incomplete | Incomplete work is submitted |