What is Unsupervised Learning ? Unsupervised learning stands as a captivating domain within machine learning, where algorithms learn from data without any explicit instructions. Imagine embarking on a journey of exploration without a map, where patterns and structures are discovered organically. This self-guided exploration allows algorithms to categorize, cluster, and interpret complex datasets in innovative ways. Clustering Techniques in Unsupervised Learning At the heart of unsupervised learning lies clustering, a method used to group data points into clusters based on similarity. Two widely recognized techniques are K-means and hierarchical clustering, each with its unique approach to