Struct DBSCAN 

pub struct DBSCAN { /* private fields */ }

DBSCAN clustering kernel.

Density-based spatial clustering of applications with noise.

Implementations

impl DBSCAN

pub fn new() -> Self

Create a new DBSCAN kernel.

pub fn compute( data: &DataMatrix, eps: f64, min_samples: usize, metric: DistanceMetric, ) -> ClusteringResult

Run DBSCAN clustering.

Arguments

• data - Input data matrix
• eps - Maximum distance for neighborhood
• min_samples - Minimum points to form a dense region
• metric - Distance metric to use

Trait Implementations

impl BatchKernel<DBSCANInput, DBSCANOutput> for DBSCAN

DBSCAN batch kernel implementation.

fn execute<'life0, 'async_trait>( &'life0 self, input: DBSCANInput, ) -> Pin<Box<dyn Future<Output = Result<DBSCANOutput>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait,

Execute the kernel with the given input.

fn validate_input(&self, _input: &I) -> Result<(), KernelError>

Validate the input before execution.

impl Clone for DBSCAN

fn clone(&self) -> DBSCAN

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DBSCAN

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

Formats the value using the given formatter.

impl Default for DBSCAN

fn default() -> Self

Returns the “default value” for a type.

impl GpuKernel for DBSCAN

fn metadata(&self) -> &KernelMetadata

Returns the kernel metadata.

fn validate(&self) -> Result<(), KernelError>

Validate kernel configuration.

fn id(&self) -> &str

Returns the kernel ID.

fn requires_gpu_native(&self) -> bool

Returns true if this kernel requires GPU-native execution.