#KeyNote #UnsupervisedMachineLearning #Clustering #k-means

Clustering is one of unsupervised machine learning algorithm. There are many models for clustering out there. Despite its simplicity, the K-means is vastly used for clustering in many data science applications, especially useful if you need to quickly discover insights from unlabeled data.

Some real-world applications of k-means:

- Customer segmentation
- Understand what the visitors of a website are trying to accomplish
- Pattern recognition
- Machine learning
- Data compression