akshayrangasai / kPCA
A Matlab Implementation of Kernel PCA. Specific example, with a Gaussian Kernel function. Data is provided as a mat file.
☆8Updated 12 years ago
Alternatives and similar repositories for kPCA
Users that are interested in kPCA are comparing it to the libraries listed below
Sorting:
- Kernel Sparse Representation for Time Series Classification☆17Updated 10 years ago
- 用 MATLAB 实现深度学习网络中的 stacked auto-encoder：使用AE variant（de-noising / sparse / contractive AE）进行预训练，用BP算法进行微调☆42Updated 8 years ago
- Robust regularized Extreme Learning Machine (ELM) for regression using Iteratively Reweighted Least Squares (IRLS).☆33Updated 8 years ago
- Intrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is …☆27Updated 7 years ago
- Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approa…☆72Updated 3 years ago
- this is a matlab toolbox of deep learning about sequences learning, object-oriented,including rnn, lstm and encoder decoder(sequences to…☆79Updated 8 years ago
- A graph clustering method with ant colony optimization for feature selection☆12Updated 4 years ago
- Comparative study of Prediction Models for Air Pollutant ( ANN, PCA-ANN, ANFIS, PCA-ANFIS )☆22Updated 7 years ago
- Multiple Kernel Least Squares Suport Vector Machine provide classification model.☆8Updated 7 years ago
- Regularized K-SVD Algorithm☆46Updated 8 years ago
- a simple test for understanding the theory of GAN, [matlab code]☆12Updated 7 years ago
- MATLAB Kernel PCA: PCA with training data , projection of new data☆25Updated 3 years ago
- cdSRC(Class-Dependent Sparse Representation Classifier) 基于类别的稀疏表示分类器的简单实现，MATLAB代码版本。下面是原论文地址：☆23Updated 10 years ago
- We develop the clustering approach by fast-search-and-find of density peaks which use the kernel function for mapping the input sample ob…☆17Updated 9 years ago
- Classification and Clustering using Support Vector Machine and Enhanced Fuzzy C-Means☆10Updated 7 years ago
- A MATLAB toolbox for classifier: Version 1.0.7☆87Updated 2 years ago
- This provides an MATLAB code implementation for the paper "Low-rank and Sparse Matrix Decomposition via the Truncated Nuclear Norm and a …☆29Updated 6 years ago
- 稀疏表示分类器应用于高光谱图像分类的MATLAB代码实现。仿真论文地址如下：☆45Updated 10 years ago
- Topics - Linear Regression, Logistic Regression, Regularization, Neural Networks, System Design, Support Vector Machines, Unsupervised Le…☆24Updated 6 years ago
- Ensemble Learning Toolbox☆17Updated 5 years ago
- ☆18Updated 8 years ago
- ☆10Updated 8 years ago
- ☆16Updated 7 years ago
- Principal Component Analysis☆26Updated 9 years ago
- Multi-Task Least-Squares Support Vector Machines☆8Updated 8 years ago
- Improve Deep Learning based CNN & Extreme Learning Machine With Particle Swarm Optimization (Deep PSO) For Classification☆19Updated last year
- Matlab implementation of a Generative Adversarial Network☆23Updated 7 years ago
- Signal prediction by using LSSVM with PSO and PSR☆24Updated 6 years ago
- deep belief network toolbox written in Matlab, including algorithms of unsupervised feature learning, deep learning, and general machine …☆18Updated 12 years ago
- MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets☆30Updated last year