52. stub/clustering

Part: VIII · Stubs
Package: github.com/openfluke/welvet/stub/clustering
Status: partial — 🚧

When

Scaffold / experimental stub stub/clustering (may be partial).

Where

import "github.com/openfluke/welvet/stub/clustering"

cd 52-stub-clustering && source ../env.sh && go run .

Why

Offline clustering helpers on tensors without inventing a second math stack.

What

KMeansCluster, HierarchicalGroup, distance/silhouette helpers.

Sample output (captured)

2 [0 1]

Live capture from go run ./cmd/runall on local ../../welvet (exit 0).

Source

Copied from the Welvet feature book examples (openfluke.github.io/welvet/examples/52-stub-clustering).

package main

import (
	"fmt"

	"github.com/openfluke/welvet/core"
	"github.com/openfluke/welvet/stub/clustering"
)

func main() {
	pts := []*core.Tensor[float32]{
		core.NewTensor[float32](2),
		core.NewTensor[float32](2),
	}
	pts[0].Data[0], pts[0].Data[1] = 0, 0
	pts[1].Data[0], pts[1].Data[1] = 1, 1
	cent, assign := clustering.KMeansCluster(pts, 2, 10, false)
	fmt.Println(len(cent), assign)
}