Abstract: Clustering is a crucial technique for unsupervised learning, which groups unlabeled data based on their similarities or differences. In this lecture, we introduce a popular and efficient method for clustering, namely K-Means. We will cover the concept and the algorithm, along with some demo code in Python.
https://univienna.zoom.us/j/61759769704?pwd=aGlMQlhKSFZacHh0NU5NazlSRUx0UT09