🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Clustering / Subspace Clustering Algorithms on MATLAB
Unsupervised multilabel image segmentation (color/gray/multichannel) based on the Potts model (aka piecewise constant Mumford-Shah model)
A MATLAB library for sparse representation problems
MATLAB code for 7 Multi-view Spectral Clustering algorithms
Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.
Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.
A novel Clustering algorithm by measuring Direction Centrality (CDC) locally. It adopts a density-independent metric based on the distribution of K-nearest neighbors (KNNs) to distinguish between internal and boundary points. The boundary points generate enclosed cages to bind the connections of internal points.
PSO-Clustering algorithm [Matlab code]
Matlab implementation for k-Shape
Simulation code of our paper in IEEE Transactions on Mobile Computing: ''Joint Optimization of Base Station Clustering and Service Caching in User-Centric MEC''
A Matlab library for the Dominant Set clustering
TCyb 2018: Graph learning for multiview clustering
Graph Agglomerative Clustering Library
MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"
k-means (unsupervised learning/clustering) algorithm implemented in MATLAB.
Auto-UFSTool - An Automatic MATLAB Toolbox for Unsupervised Feature Selection
This repository integrates the codes for some feature selection & clustering methods.
Wireless Sensor Network is one of the growing technologies for sensing and also performing for different tasks. These types of networks are beneficial in many fields, such as emergencies, health monitoring, environmental control, military, industries and these networks are prone to malicious users and physical attacks due to radio range of netwo…
Add a description, image, and links to the clustering topic page so that developers can more easily learn about it.
To associate your repository with the clustering topic, visit your repo's landing page and select "manage topics."