maths Directory Reference

Directory dependency graph for maths:

Files
file	adjust_turn2.m [code]
	Turns loadings vectors.
file	adjust_unitnorm.m [code]
	Normalizes column vectors to unit norm.
file	and_prod.m [code]
	AND operator as a product.
file	bc_poly.m [code]
	Polynomial baseline correction.
file	bc_rubber.m [code]
	Convex Polygonal Line baseline correction.
file	biocomparer.m [code]
file	bsearch.m [code]
	Binary Search.
file	calc_predictive_values.m [code]
	Calculates predictive values.
file	calc_sens_spec.m [code]
	Calculates sensitivities and specificities for each class (row of cc)
file	calculate_scatters.m [code]
	Calculates scatter matrices from X and classes.
file	cca.m [code]
	Canonical Correlation Analysis.
file	confint.m [code]
	Calculates confidence interval.
file	cy.m [code]
	Aux function for bmtable.
file	data_calculate_scatters.m [code]
	Calculates scatter matrices from dataset.
file	data_eliminate_var0.m [code]
	Eliminates low-variance features.
file	decim.m [code]
	Decimation by averaging.
file	deconvolve.m [code]
	Deconvolution with a vector h.
file	detect_peaks.m [code]
	Peak detector.
file	diff_operator.m [code]
	Creates differentiation matrix.
file	diff_sg.m [code]
	Savitzky-Golay differentiation.
file	distribution.m [code]
	Estimates the univariate distribution of a data vector.
file	eig_ordered.m [code]
	Returns eigenvectors of matrix ordered in descending order of eigenvalue.
file	feacons_kun.m [code]
	Kuncheva's feature consistency index.
file	featurestability.m [code]
	Calculates the stability curve for a set of feature subsets.
file	find_distributionthreshold.m [code]
	Originally created for Nik's study [1].
file	fisher_ld.m [code]
	Calculates Fisher's Linear Discriminant vectors (loadings).
file	gridsearchparam.m [code]
file	hitsentropy.m [code]
	Calculates entropy curve of a hitss matrix.
file	integrate.m [code]
file	irootlab_pls.m [code]
	Partial Least Squares.
file	irsoftmax.m [code]
	"Softmax" Transformation
file	maha.m [code]
	Calculates the Mahalanobis distances of the rows in X.
file	normaliz.m [code]
	Normalization.
file	normalize_rows.m [code]
	Divides each row of cc by its sum, or leaves it untouched if its sum is zero.
file	peak_closest.m [code]
	Returns index of peak closest to a.
file	peak_landmarks.m [code]
	Converts curves to their peaks/troughs locations.
file	penalty_matrix.m [code]
	Linear combination of differential operators.
file	princomp2.m [code]
	Principal Component Analysis (PCA)
file	quantile_landmarks.m [code]
	x-positions where quantiles occur.
file	rotatefactors2.m [code]
	Reproduces the factor rotation of Pirouette.
file	round_random.m [code]
	Now works as regular round()
file	sigfun.m [code]
	Sigmoid function.
file	sigwindowuni.m [code]
	Point-by-point multiplications of the rows of X by a sigmoid.
file	splinebasis.m [code]
	Splines transformation matrix.
file	splinedecomp.m [code]
	Spline decomposition.
file	unique_appear.m [code]
	Generates unique class labels in order of appearance.
file	wden.m [code]
	Wavelet De-noising.
file	weightedsubsampling.m [code]
	Weighted subsampling.