pub struct AdaptiveOnlineClustering<F: Float> { /* private fields */ }Expand description
Adaptive online clustering with concept drift detection
This algorithm automatically adapts to changing data distributions, creates new clusters when needed, merges similar clusters, and detects concept drift in streaming data.
Implementations§
Source§impl<F: Float + FromPrimitive + Debug> AdaptiveOnlineClustering<F>
impl<F: Float + FromPrimitive + Debug> AdaptiveOnlineClustering<F>
Sourcepub fn new(config: AdaptiveOnlineConfig) -> Self
pub fn new(config: AdaptiveOnlineConfig) -> Self
Create a new adaptive online clustering instance
Sourcepub fn partial_fit(&mut self, point: ArrayView1<'_, F>) -> Result<usize>
pub fn partial_fit(&mut self, point: ArrayView1<'_, F>) -> Result<usize>
Process a single data point online
Sourcepub fn predict(&self, point: ArrayView1<'_, F>) -> Result<usize>
pub fn predict(&self, point: ArrayView1<'_, F>) -> Result<usize>
Predict cluster assignment for new data
Sourcepub fn cluster_centers(&self) -> Array2<F>
pub fn cluster_centers(&self) -> Array2<F>
Get current cluster centroids
Sourcepub fn n_clusters(&self) -> usize
pub fn n_clusters(&self) -> usize
Get number of active clusters
Auto Trait Implementations§
impl<F> Freeze for AdaptiveOnlineClustering<F>
impl<F> RefUnwindSafe for AdaptiveOnlineClustering<F>where
F: RefUnwindSafe,
impl<F> Send for AdaptiveOnlineClustering<F>where
F: Send,
impl<F> Sync for AdaptiveOnlineClustering<F>where
F: Sync,
impl<F> Unpin for AdaptiveOnlineClustering<F>
impl<F> UnwindSafe for AdaptiveOnlineClustering<F>where
F: RefUnwindSafe,
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Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
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Converts
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if into_left is true.
Converts self into a Right variant of Either<Self, Self>
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Converts
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Source§impl<SS, SP> SupersetOf<SS> for SPwhere
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fn from_subset(element: &SS) -> SP
The inclusion map: converts
self to the equivalent element of its superset.