
Experiment : linear supervised dimensionality reduction : wine, final cost : -17147.325

	d : 13
	q : 4
	num cluster : 3
	σ_ratio : 1.000
	λ_ratio : 0.000
	kernel type : multiquadratic
	Optimization method : ism
	HSIC
		Run time : 0.014
		Training SVM NMI without dimension reduction : 1.000, acc : 1.000, time : 0.0025
		Training SVM NMI with dimension reduction : 0.973 , acc : 0.994
	LDA
		Training NMI with LDA : 1.000, acc : 1.000
		LDA Run time : 0.002
	PCA
		Training SVM NMI with PCA dimension reduction : 0.921, acc : 0.983
		PCA training time : 0.001




