parti 0.1.0

Clustering and hierarchical structure primitives
Documentation 
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//\! # parti
//!
//! Hierarchical abstraction: tree structures + reconciliation / conformal primitives for multi-resolution views.
//!
//! **Default build** is hierarchy-first (minimal dependencies). Algorithmic clustering and community detection
//! are opt-in via feature flags.

#[cfg(feature = "cluster")]
pub mod cluster;
#[cfg(feature = "community")]
pub mod community;
/// Error types used across `parti`.
pub mod error;
pub mod hierarchy;
pub mod metrics;
pub mod reconciliation;
#[cfg(feature = "summarize")]
pub mod summarize;

#[cfg(any(feature = "rkhs", feature = "wass"))]
pub mod distribution_distance;

#[cfg(test)]
mod reconciliation_tests;

#[cfg(feature = "cluster")]
pub use crate::cluster::ItDendrogram;
pub use crate::hierarchy::{HierarchicalConformal, HierarchyTree, ReconciliationScore};
pub use crate::reconciliation::{reconcile, ReconciliationMethod, SummingMatrix};

// Re-exports from Strata merge
pub use error::{Error, Result};
pub use metrics::{ari, completeness, fowlkes_mallows, homogeneity, nmi, purity, v_measure};

#[cfg(any(feature = "rkhs", feature = "wass"))]
pub use distribution_distance::{DistributionDistance, DistributionDistanceConfig};

#[cfg(feature = "cluster")]
pub use cluster::{Clustering, Gmm, HierarchicalClustering, Kmeans, Linkage, SoftClustering};

#[cfg(feature = "community")]
pub use community::{CommunityDetection, LabelPropagation, Leiden, Louvain};

#[cfg(feature = "knn-graph")]
pub use community::{
    knn_graph_from_embeddings, knn_graph_with_config, KnnGraphConfig, WeightFunction,
};

#[cfg(feature = "summarize")]
pub use summarize::Summarizer;

pub use hierarchy::{Dendrogram, RaptorTree, TreeConfig};