Struct ClusteringConfig 

pub struct ClusteringConfig {
    pub algorithm: ClusteringAlgorithm,
    pub num_clusters: Option<usize>,
    pub similarity_threshold: f32,
    pub min_cluster_size: usize,
    pub distance_metric: SimilarityMetric,
    pub max_iterations: usize,
    pub random_seed: Option<u64>,
    pub tolerance: f32,
    pub linkage: LinkageCriterion,
}

Clustering configuration

Fields

algorithm: ClusteringAlgorithm

Clustering algorithm to use

num_clusters: Option<usize>

Number of clusters (for k-means, spectral)

similarity_threshold: f32

Similarity threshold (for DBSCAN, similarity clustering)

min_cluster_size: usize

Minimum cluster size (for DBSCAN)

distance_metric: SimilarityMetric

Distance metric to use

max_iterations: usize

Maximum iterations (for iterative algorithms)

random_seed: Option<u64>

Random seed for reproducibility

tolerance: f32

Convergence tolerance

linkage: LinkageCriterion

Linkage criterion for hierarchical clustering

Trait Implementations

impl Clone for ClusteringConfig

fn clone(&self) -> ClusteringConfig

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ClusteringConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for ClusteringConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ClusteringConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for ClusteringConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.