Exercise: Creating and Analyzing a KMeans Model
Check your understanding of data clustering techniques.
We'll cover the following
Let’s practice what we’ve learned so far.
Tasks
Refactor the Python code below to implement the following tasks:
- Create a KMeans cluster using one cluster and the dataset given in
data
. - Calculate and print the
cluster_centers_
of the model. - Evaluate the model’s performance by calculating and printing the
inertia_
attribute of the model. - Print an array of the inertia values against the number of clusters, and determine the optimal number of clusters using the elbow technique.
Coding workspace
The provided workspace contains the required libraries and datasets. Try to code the solution for the tasks mentioned above.
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