Created
February 16, 2014 07:59
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Non-negative Matrix Factorization (NMF) in Golang
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package main | |
import ( | |
"fmt" | |
. "github.com/r9y9/go.matrix" | |
) | |
// Minimize |Y - HU|^2 st H, U > 0 | |
func NMFEuclid(Y *DenseMatrix, numBasis, numIter int) (*DenseMatrix, *DenseMatrix) { | |
H := Numbers(Y.Rows(), numBasis, 1.0) | |
U := Numbers(numBasis, Y.Cols(), 1.0) | |
epsiron1 := Numbers(numBasis, Y.Cols(), 1.0e-7) | |
epsiron2 := Numbers(Y.Rows(), numBasis, 1.0e-7) | |
for iter := 0; iter < numIter; iter++ { | |
objectiveMat, _ := Y.MinusDense(Product(H, U)) | |
objective := objectiveMat.TwoNorm() | |
fmt.Println("Objective function: ", objective) | |
// Update U | |
t1, _ := H.Transpose().TimesDense(Y) | |
numerU, _ := U.ElementMultDense(t1) | |
denomU := Product(H.Transpose(), H, U) | |
denomU.Add(epsiron1) | |
U, _ = numerU.ElementDivDense(denomU) | |
// Update H | |
t2, _ := Y.TimesDense(U.Transpose()) | |
numerH, _ := H.ElementMultDense(t2) | |
denomH := Product(H, U, U.Transpose()) | |
denomH.Add(epsiron2) | |
H, _ = numerH.ElementDivDense(denomH) | |
} | |
return H, U | |
} | |
func main() { | |
A := Numbers(5, 5, 50.0) | |
fmt.Println("The original matrix: \n", A) | |
H, U := NMFEuclid(A, 2, 10) | |
fmt.Println("Basis: \n", H) | |
fmt.Println("Activity: \n", U) | |
} |
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結果はっとく
The original matrix:
{50, 50, 50, 50, 50,
50, 50, 50, 50, 50,
50, 50, 50, 50, 50,
50, 50, 50, 50, 50,
50, 50, 50, 50, 50}
Objective function: 240
Objective function: 3.999964803824696e-09
Objective function: 4.000035858098272e-09
Objective function: 4.000000330961484e-09
Objective function: 3.999964803824696e-09
Objective function: 4.000035858098272e-09
Objective function: 4.000000330961484e-09
Objective function: 4.000035858098272e-09
Objective function: 4.000000330961484e-09
Objective function: 3.999929276687908e-09
Basis:
{1, 1,
1, 1,
1, 1,
1, 1,
1, 1}
Activity:
{25, 25, 25, 25, 25,
25, 25, 25, 25, 25}