cluster assignment

5-Clustering/2-K-Means/README.md

@@ -187,7 +187,11 @@ print("Result: %d out of %d samples were correctly labeled." % (correct_labels,
 
 print('Accuracy score: {0:0.2f}'. format(correct_labels/float(y.size)))
 ```
-This model's accuracy is not very good, and the shape of the clusters gives you a hint why. In Scikit-Learn's documentation, you can see that a model like this one, with clusters not very well demarcated, has a 'variance' problem:
+This model's accuracy is not very good, and the shape of the clusters gives you a hint why. 
+
+![clusters](images/clusters.png)
+
+In Scikit-Learn's documentation, you can see that a model like this one, with clusters not very well demarcated, has a 'variance' problem:
 
 ![problem models](images/problems.png)
 

5-Clustering/2-K-Means/assignment.md

@@ -1,9 +1,10 @@
-# [Assignment Name]
+# 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 |
-| -------- | --------- | -------- | ----------------- |
-|          |           |          |                   |
+| 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 |