K-means Clustering in Python using OpenAI

## K-means Clustering in Python using OpenAI We use a simple k-means algorithm to demonstrate how clustering can be done. Clustering can help discover valuable, hidden groupings within the data. The dataset is created in the [Get_embeddings_from_dataset Notebook](Get_embeddings_from_dataset.ipynb). ### 1. Find the clusters using K-means We show the simplest use of K-means. You can pick the number of clusters that fits your use case best. Visualization of clusters in a 2d projection. In this run, the green cluster (#1) seems quite different from the others. Let's see a few samples from each cluster.