K-means clustering jupyter notebook

1. What are clusters in Jupyter notebook?
2. Why Kmeans is not recommended?

What are clusters in Jupyter notebook?

With Jupyter Notebook cluster, you can run notebook on the local machine and connect to the notebook on the cluster by setting the appropriate port number. Example code: Go to Server using ssh username@ip_address to server. Set up the port number for running notebook.

Why Kmeans is not recommended?

Assumes spherical density.

One of the main disadvantages of k-means clustering is that it constrains all clusters to have a spherical shape. This means that k-means clustering does not perform as well in situations where clusters naturally have irregular shapes.