Package: phynotype 0.6.2

Introduction | Data preparation | Numeric data | Mixed-type data | Clustering algorithms | K-means | PAM | Hierarchical clustering | DBSCAN | Gaussian mixture models | K-prototypes | KMM (K-Mixed-Modes) | Accessors | Validation | Internal metrics | External metrics | Grid search | Per-cluster silhouette widths | Exploration | Prediction | Consensus meta-clustering | How it works | Usage | Validation and exploration of the consensus | Interpretation | The unsupervised interpretation problem | Global feature importance | Local explanations (LIME) | Ceteris paribus profiles | Complete pipeline example | References