#CurrencyPairPrediction Choose a Clustering Algorithm Popular choices: Algorithm Notes K-Means Simple, fast, needs number of clusters k. Gaussian Mixture Models (GMM) Probabilistic clusters; softer boundaries. Hierarchical Clustering Builds a tree (dendrogram); flexible number of clusters. DBSCAN Density-based; good if regimes are irregular. Spectral Clustering Good for complex structures. Most common starting point → K-Means Clustering.