ml_KNearest_create

mlfunctionOpenCV 5.0.0

import { ml_KNearest_create } from '@banou/opencv-wasm'

Use after await initOpenCV(). See the initialization and named imports guide.

Explore visually: K-nearest-neighbour classification →

Predict a sample from the labels or values of nearby training examples.

VISUAL WALKTHROUGHMachine learning

REFERENCE INPUTLabelled training observations

The white point is an unlabelled query in the same feature space.

→

RESULTAggregate the neighbour labels

The query receives the mint class, with 5 of five votes.

Distances and votes are computed from the displayed two-dimensional sample set.

Creates the empty model

The static method creates empty %KNearest classifier. It should be then trained using StatModel::train method.

ml_KNearest_create(): ml_KNearest | null;

Returns

The ml_KNearest | null result.

Upstream declaration ↗

These signatures describe this package. Upstream documentation can mention optional backends that are absent from this build. Check runtime compatibility before choosing a backend or file format.