Clustering techniques are a subset of unsupervised machine learning. They aim to group similar data points together based on defined criteria. Common methods include K-means clustering, hierarchical clustering, and DBSCAN (Density-Based Spatial Clustering of Applications with Noise). Each technique has unique strengths and applications in catalysis research.
