diff --git a/5-Clustering/2-K-Means/README.md b/5-Clustering/2-K-Means/README.md index 459add69..8e939e02 100644 --- a/5-Clustering/2-K-Means/README.md +++ b/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) diff --git a/5-Clustering/2-K-Means/assignment.md b/5-Clustering/2-K-Means/assignment.md index d4badb79..19859e1e 100644 --- a/5-Clustering/2-K-Means/assignment.md +++ b/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 | diff --git a/5-Clustering/2-K-Means/images/clusters.png b/5-Clustering/2-K-Means/images/clusters.png new file mode 100644 index 00000000..f8d33d04 Binary files /dev/null and b/5-Clustering/2-K-Means/images/clusters.png differ