# 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 --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://igb.mit.edu/mini-courses/python/machine-learning-with-python/hands-on/unsupervised-approaches.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.