TSKCCA
by kosyoshida
AI summary
Kernel CCA algorithm
A Matlab implementation of two-stage kernel canonical correlation analysis for feature selection and multiple component capture in machine learning
- stars
- 6
- forks
- 3
- watching
- 1
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Data analysis tool
An implementation of a method for analyzing high-dimensional datasets by decomposing correlations between multiple variables.
CCA tool
Software package implementing sparse canonical correlation analysis for mixed data types
KPCA tool
An implementation of Kernel Principal Component Analysis for dimensionality reduction and fault detection in MATLAB.
hwang64/mlkp107
Kernel representation method
A method for compactly representing object proposals in object detection using high-order statistics
Image processing library
A collection of computer vision algorithms implemented in Matlab.
Machine Learning Algorithm
An implementation of an online federated learning algorithm with multiple kernels for personalized machine learning
Pattern recognition study
An investigation into feature reduction and classification methods for pattern recognition using various techniques such as PCA, LDA, and SVM.
CCG toolset
A Common Lisp implementation of Combinatory Categorial Grammar and its tools
Clustering algorithm
An implementation of Fuzzy C-Means clustering algorithm with fuzzy theory on Machine Learning for data mining and image compression.
Pattern analysis tool
A toolbox for analyzing patterns in multi-modal and multi-variate data in cognitive neuroscience using Matlab/Octave
CF algorithms
A package of Collaborative Filtering algorithms in Go for recommendation systems.
Biological data analysis tool
A software project that performs statistical analysis on biological data using Principal Component Correlation Analysis (PCCA) and related methods.
Matlab Notebook Interface
A Jupyter kernel implementation for interacting with Matlab from within a notebook
Clustering algorithm
A Smalltalk implementation of the K-means clustering algorithm
Kernel toolbox
A collection of MATLAB programs implementing kernel-based algorithms for nonlinear signal processing and machine learning.
Featured in 1 awesome list
Each link jumps to the spot where the list mentions TSKCCA.
