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updated 1 month ago

Kernel PCA and Pre-Image Reconstruction by Quan Wang

standard PCA, Gaussian kernel PCA, polynomial kernel PCA, pre-image reconstruction (signal processing, large data, dimension reduction)

D=distanceMatrix(X)

K=kernel(X,type,para)

K=kernel_NewData(Y,X,type,para)

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updated almost 4 years ago

Eigen Function of the Laplacian by Ambarish Jash

The main file Diffusion_Family.m gives a low dimensional embedding in 3 different ways. (signal processing, data exploration, modeling)

Diffusion_Family(data,ScaleSigma,knn,flag)

L2_distance(a,b,df)

adjacency(DATA, TYPE, PARAM);

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updated 4 years ago

Kernel PCA by Ambarish Jash

Non-linear dimension reduction using kernel PCA. (signal processing, nonlinear, kernel technique)

kernelpca_tutorial(data_in,num_dim)

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updated 4 years ago

TOFistAC by Dariya Malyarenko

Time-of-Flight ionisation state automated assignment and calibration for broad-range mass spectra (malditof, instrumental delay co..., ionisation state dete...)

autoCalTOF(TD, asnTD, fmxInt, DW, HW, rst, fsp, pkl, cpk)

calMZtof (delay, dw, endT, cpeaks)

parentDecTOF(inTbl)

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updated 5 years ago

Sequential Latent Semantic Indexing by Vital

Sequential version of the latent semantic indexing method (dimension reduction, text mining, lsi)

compute_int.m

lanpro.m

pythag(y,z)

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