> For the complete documentation index, see [llms.txt](https://igb.mit.edu/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://igb.mit.edu/mini-courses/python/machine-learning-with-python/hands-on/unsupervised-approaches.md).

# Unsupervised Approaches

Unsupervised learning applies when points have no external labeling of classification. Let's pretend we do not know whether the genes pairs are in the same operon. All we know are the distance between the gene pairs and the expression similarity scores. We will practice an unsupervised method using [K-Means algorithm](https://becominghuman.ai/comprehending-k-means-and-knn-algorithms-c791be90883d) to classify the gene pairs