Uniform clustering patterns

Now that you are familiar with the impact of seeds, let us look at the bias in k-means clustering towards the formation of uniform clusters.

Let us use a mouse-like dataset for our next exercise. A mouse-like dataset is a group of points that resemble the head of a mouse: it has three clusters of points arranged in circles, one each for the face and two ears of a mouse.

Here is how a typical mouse-like dataset looks like (Source).

The data is stored in a Pandas data frame, mouse. x_scaled and y_scaled are the column names of the standardized X and Y coordinates of the data points.

Import kmeans and vq functions in SciPy.
Generate cluster centers using the kmeans() function with three clusters.
Create cluster labels with vq() with the cluster centers generated above.

Exercise

Uniform clustering patterns

Instructions