Step-by-Step Guide to Implementing Clustering Algorithms

Clustering algorithms group similar data points to uncover hidden patterns in datasets. These unsupervised techniques play a crucial role in machine learning by organizing complex data into meaningful clusters. For example, datasets like DrivFace and COIL 16 show clustering accuracy improvements, with correlation measures reaching up to 0.99. This highl…