Struct DistributedKMeans

Source

pub struct DistributedKMeans<F: Float> {
    pub k: usize,
    pub config: DistributedKMeansConfig,
    pub centroids: Option<Array2<F>>,
    pub partitions: Vec<DataPartition<F>>,
    pub fault_coordinator: FaultToleranceCoordinator<F>,
    pub load_balancer: LoadBalancingCoordinator,
    pub performance_monitor: PerformanceMonitor,
    pub message_coordinator: Option<MessagePassingCoordinator<F>>,
    pub partitioner: DataPartitioner<F>,
    pub current_iteration: usize,
    pub convergence_history: Vec<ConvergenceInfo>,
    pub global_inertia: f64,
}

Expand description

Main distributed K-means clustering algorithm

Fields§

§k: usize

Number of clusters

§config: DistributedKMeansConfig

Configuration parameters

§centroids: Option<Array2<F>>

Current centroids

§partitions: Vec<DataPartition<F>>

Worker assignments and data partitions

§fault_coordinator: FaultToleranceCoordinator<F>

Fault tolerance coordinator

§load_balancer: LoadBalancingCoordinator

Load balancing coordinator

§performance_monitor: PerformanceMonitor

Performance monitor

§message_coordinator: Option<MessagePassingCoordinator<F>>

Message passing coordinator

§partitioner: DataPartitioner<F>

Data partitioner

§current_iteration: usize

Current iteration

§convergence_history: Vec<ConvergenceInfo>

Convergence history

§global_inertia: f64

Global inertia

Implementations§

Source §

impl<F: Float + FromPrimitive + Debug + Send + Sync + 'static> DistributedKMeans<F>

Source

pub fn new(k: usize, config: DistributedKMeansConfig) -> Result<Self>

Create new distributed K-means instance

Source

pub fn fit(&mut self, data: ArrayView2<'_, F>) -> Result<ClusteringResult<F>>

Fit the distributed K-means model to data

Source

pub fn predict(&self, data: ArrayView2<'_, F>) -> Result<Array1<usize>>

Predict cluster assignments for new data

Source

pub fn centroids(&self) -> Option<&Array2<F>>

Get current centroids

Source

pub fn convergence_history(&self) -> &[ConvergenceInfo]

Get convergence history

Source

pub fn inertia(&self) -> f64

Get current inertia

Source

pub fn n_iterations(&self) -> usize

Get number of iterations performed

Source

pub fn performance_monitor(&self) -> &PerformanceMonitor

Get performance monitor

Source

pub fn fault_coordinator(&self) -> &FaultToleranceCoordinator<F>

Get fault tolerance coordinator

Trait Implementations§

Source §

impl<F: Debug + Float> Debug for DistributedKMeans<F>

Source §

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

Formats the value using the given formatter. Read more

Auto Trait Implementations§

§

impl<F> UnwindSafe for DistributedKMeans<F>
where F: RefUnwindSafe,

Blanket Implementations§

Source §

impl<T> Any for T
where T: 'static + ?Sized,

Source §

fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

Source §

impl<T> Borrow<T> for T
where T: ?Sized,

Source §

fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

Source §

impl<T> BorrowMut<T> for T
where T: ?Sized,

Source §

fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

Source §

impl<T> From<T> for T

Source §

fn from(t: T) -> T

Returns the argument unchanged.

Source §

impl<T, U> Into for T
where U: From<T>,

Source §

fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

Source §

impl<T> IntoEither for T

Source §

fn into_either(self, into_left: bool) -> Either<Self, Self>

Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

Source §

fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

Source §