# Try different clustering methods ## Instructions In this lesson, you learned about K-Means clustering. However, K-Means might not always be the best fit for your data. Create a notebook using data either from these lessons or from another source (make sure to credit your source) and demonstrate a different clustering method that does NOT use K-Means. What insights did you gain? ## 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 | --- **Disclaimer**: This document has been translated using the AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). While we strive for accuracy, please note that automated translations may contain errors or inaccuracies. The original document in its native language should be regarded as the authoritative source. For critical information, professional human translation is recommended. We are not responsible for any misunderstandings or misinterpretations resulting from the use of this translation.