LUHC : LUHC is a Laplacian Unit-Hyperplane Learning for positive and unlabeled learning problem. This package provides a Demo Matlab code for LUHC.

RPTSVM : RPTSVM is a regularization recursive projection twin support vector machine for binary classification. This package provides an implementation of the RPTSVM (PTSVM is a special case of RPTSVM) method by Matlab code.

L12DLDA : L12DLDA is a L1-norm 2-dimension linear discriminant analysis for demension redundency. This package provides an implementation of the L12DLDA method by Matlab code

TWSVC : TWSVC is a twin support vector machine for clustering. This package provides an implementation of the TWSVC method by Matlab code

LkPPC : LkPPC is a local k-Proximal Plane Clustering method for clustering. This package provides an implementation of the LkPPC method by Matlab code

MPSVM : MPSVM is a manifold proximal support vector machine for semi-supervised learnining problem. This package provides a Demo Matlab code for MPSVM

L1NPSVM : L1NPSVM is a L1-norm nonparallel proximalsupport vector machine for binary classification. This package provides an implementation of the L1NPSVM method by Matlab code

WLTSVM : WLTSVM is a weighted Lagrangian twin support vector machine for imbalanced data classification. This package provides an implementation of the WLTSVM method by Matlab code

FSTWSVM : FSTWSVM is a feature selection method for twin support vector machines, including linear and nonlinear feature selection. This package provides an implementation of the FSTWSVM method by Matlab code

NHSVM : NHSVM is a nonparallel hyperplane support vector machine for binary classification. This package provides an implementation of the NHSVM method by Matlab code

PCC : PCC is a proximal classifier with consistency for binary classification. This package provides an implementation of the PCC method by Matlab code

PPWMs : PPWMs is a tool for predicting palmitoylation sites based on protein sequence. This package provides an implementation of the PPWMs by C++ code

ETSVR : ETSVR is a varepsilon-twin support vector machine for regression. This package provides an implementation of the ETSVR method by Matlab code

TWSVM : TWSVM is a twin support vector machine for binary classification. This package provides an implementation of the TBSVM (TWSVM is a special case of TBSVM) method by Matlab code

STPMSVM : STPMSVM is a smooth twin parametric-margin support vector machine for binary classification. This package provides an implementation of the STPMSVM method by Matlab code

RPTSVM : RPTSVM is a regularization recursive projection twin support vector machine for binary classification. This package provides an implementation of the RPTSVM (PTSVM is a special case of RPTSVM) method by Matlab code

LSPTSVM : LSPTSVM is a least squares recursive projection twin support vector machine for binary classification. This package provides an implementation of the LSPTSVM (only linear case) method by Matlab code

2DLDAL1S : Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization

RFDPC : A Matlab code for Robust fitting distribution planes for clustering.

BLp2DLDA : Robust bilateral Lp-norm two-dimensional linear discriminant analysis

2DRLPP : 2DRLPP: Robust Two-Dimensional Locality Preserving Projection with Regularization

ESQSVR : Extensive semi-quantitative regression

G2DLDA : Generalized two-dimensional linear discriminant analysis with regularization

GLpNPSVM : Generalized elastic net Lp-norm nonparallel support vector machine

kPPC : k-Proximal Plane Clustering,

L1BLDA : Robust Bhattacharyya bound linear discriminant analysis through an adaptive non-greedy algorithm

LpNPSVM : Robust nonparallel proximal support vector machine with Lp-norm regularization.

LqLSSVM : Feature selection via sparse $L_q$-norm least squares support vector machines for small size samples

LSTBSVC : Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding

LTSVM : An efficient weighted Lagrangian twin support vector machine for imbalanced data classification

MBLDA : MBLDA: a novel multiple between-class linear discriminant analysis

MDR : Minimum deviation distribution machine for large scale regression

MFPC : Multiple Flat Projections Clustering for Cross-manifold

MLSPTSVM : Multiple recursive projection twin support vector machine for multi-class classification

MLTSVM : Multi-label twin support vector machine for pattern classification

MVSVML1 : Robust L1-norm multi-weight vector projection support vector machine for pattern recognition

NSVM : Single Versus Union: Non-parallel Support Vector Machine Frameworks

PDLSSVM : Joint sample and feature selection via sparse primal and dual LSSVM

PINSVR : A novel parametric-insensitive nonparallel support vector machine for regression

RampTWSVC : Ramp-based Twin Support Vector Clustering

RankSVM-PTM : Prediction of acetylation and succinylation in proteins based on multi-label learning RankSVM

RDA : Reversible discriminant analysis

RFDPC : A general model for plane-based clustering with loss function

RSLDA : Robust and sparse linear discriminant analysis via alternating direction method of multipliers

SGTSVM : Stochastic gradient twin support vector machine for large scale data

RTBSVM : Robust Rescaled Hinge Loss Twin Support Vector Machine for Imbalanced Noisy Classification

CLDA : Capped norm linear discriminant analysis and its applications

SLSSVR : Feature selection for high-dimensional regression via sparse LSSVR based on $L_p$-norm

GCLDA : Generalized capped $l_{2,q}$ norm linear discriminant analysis with regularization

RNNL2BLDA : A Matlab code for "Reverse nearest neighbors Bhattacharyya bound linear discriminant analysis for multimodal classification"

2DBLDA : A Matlab code for "Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications".

LFDC : LFDC is a Locally finite distance clustering with discriminative information for Clustering problem. This package provides a Demo Matlab code for LFDC.

2DCLDA : A Matlab code for Robust two-dimensional capped l2,1-norm linear discriminant analysis with regularization and its applications on face recognition

TLMM : MATLAB Codes for "TLMM: A fast Majorize-Minimize algorithm for truncated loss classifiers".

L-CIBU : Creating universum for class imbalance via locality and applying it to boost multi-view subspace learning's performance

L1VSVM : Classification by estimating the cumulative distribution function for small data

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