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.
ML-For-Beginners/5-Clustering/2-K-Means/assignment.md

11 lines
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 |