Question

Instructions Read the Jupyter notebook in this task's folder before trying the compulsory task. Compulsory Task • Load the Iris data set. Select two features from the data to use in this exercise and scale the data. • Using single and complete linkages, and Euclidean and Cityblock distance metrics, print dendrograms for the different combinations of these. You should have 4 dendrograms. Different distance metrics are listed here. • Pick one dendrogram to go forward with. ? Choose a fixed number of clusters based on the dendrogram of your choice. These should be the most dissimilar clusters. ? Run agglomerative hierarchical clustering with that number of clusters (and the linkage method and distance metric used for that dendrogram). ? Verify the clusters you obtained by using the Silhouette score and comment on your confidence in your clustering solution.

          Instructions
Read the Jupyter notebook in this task's folder before trying the compulsory task.
Compulsory Task
• Load the Iris data set. Select two features from the data to use in this
exercise and scale the data.
• Using single and complete linkages, and Euclidean and Cityblock distance
metrics, print dendrograms for the different combinations of these. You
should have 4 dendrograms. Different distance metrics are listed here.
• Pick one dendrogram to go forward with.
? Choose a fixed number of clusters based on the dendrogram of your
choice. These should be the most dissimilar clusters.
? Run agglomerative hierarchical clustering with that number of
clusters (and the linkage method and distance metric used for that
dendrogram).
? Verify the clusters you obtained by using the Silhouette score and
comment on your confidence in your clustering solution.

Instructions
Read the Jupyter notebook in this task's folder before trying the compulsory task.
Compulsory Task
• Load the Iris data set. Select two features from the data to use in this
exercise and scale the data.
• Using single and complete linkages, and Euclidean and Cityblock distance
metrics, print dendrograms for the different combinations of these. You
should have 4 dendrograms. Different distance metrics are listed here.
• Pick one dendrogram to go forward with.
? Choose a fixed number of clusters based on the dendrogram of your
choice. These should be the most dissimilar clusters.
? Run agglomerative hierarchical clustering with that number of
clusters (and the linkage method and distance metric used for that
dendrogram).
? Verify the clusters you obtained by using the Silhouette score and
comment on your confidence in your clustering solution.

Added by Stephanie S.

Question

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