Clustering for Unsupervised Learning
Explore the concept of clustering in unsupervised machine learning and understand how K-means algorithm groups data points based on similarity. Learn its applications across various fields and the step-by-step process of how it identifies cluster centroids.
We'll cover the following...
We'll cover the following...
Unsupervised learning
Unsupervised learning is when we use unlabeled data to allow a model to learn relationships between data observations and pick up on underlying patterns. Most data in the world is unlabeled, which makes unsupervised learning a very useful method of machine learning. The most common algorithms for unsupervised learning are clustering algorithms. We will look at some of these later in this lesson.
Clustering
Clustering is the process of dividing the data points into groups such that ...