Source Code for Entropy Regularization for Unsupervised Clustering with Adaptive Neighbors (ERCAN) published on PR
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Jan 28, 2023 - MATLAB
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unsupervised-learning
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This repository contains my solutions to the programming assignments in the Machine Learning course. The solutions are all implemented in MATLAB
machine-learning data-mining neural-network clustering linear-regression supervised-learning logistic-regression support-vector-machine unsupervised-learning anomaly-detection
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Nov 10, 2021 - MATLAB
Sparse Autoencoder based on the Unsupervised Feature Learning and Deep Learning tutorial from the Stanford University
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Dec 9, 2018 - MATLAB
This is where I play and learn about machine learning applications.
generative-adversarial-network gaussian-mixture-models convolutional-neural-networks unsupervised-learning probabilistic-graphical-models latent-dirichlet-allocation mutual-information
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Jul 22, 2017 - MATLAB
Machine Learning by Stanford University
python machine-learning linear-regression linear-algebra machine-learning-algorithms supervised-learning gradient-descent unsupervised-learning machine-learning-coursera andrew-ng
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Jan 18, 2019 - MATLAB
Certification of course taught by Andrew Ng - Machine Learning (Stanford)
machine-learning neural-network clustering artificial-intelligence supervised-learning unsupervised-learning
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Apr 13, 2020 - MATLAB
Solutions for the Coursera Machine Learning Course (Andrew Ng).
machine-learning svm linear-regression coursera neural-networks supervised-learning pca regularization gradient-descent unsupervised-learning backpropagation andrew-ng forward-propagation
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Jan 19, 2021 - MATLAB
Code for the ICPR2020 Oral paper "Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning"
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Apr 22, 2022 - MATLAB
My Machine Learning Course from Stanford University using #Octave and #MATLAB to solve ML algorithms and problems
machine-learning neural-network linear-regression machine-learning-algorithms octave logistic-regression recommender-system unsupervised-learning svm-classifier
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Jun 28, 2020 - MATLAB
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Oct 18, 2023 - MATLAB
MATLAB implementation of spectral clustering applied to geometric datasets (circle, spiral, sphere) with evaluation metrics and visualization.
pattern-recognition unsupervised-learning dbscan-clustering spectral-clustering k-means-clustering laplacian-matrix
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Aug 22, 2025 - MATLAB
Code for the analysis conducted in the paper "On the Importance of Hidden Bias and Hidden Entropy in Representational Efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines"
machine-learning autoencoder restricted-boltzmann-machine rbm unsupervised-learning gbprbm hidden-entropy
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Nov 25, 2020 - MATLAB
Analysis of the Salinas hyperspectral image dataset using advanced clustering algorithms, focusing on identifying homogeneous regions in the image. Implementations of cost-function optimization and hierarchical clustering techniques, along with evaluations and visualizations in reduced-dimensional spaces.
machine-learning clustering matlab image-processing data-visualization remote-sensing pca dimensionality-reduction unsupervised-learning fuzzy-cmeans-clustering hierarchical-clustering k-means-clustering hyperspectral-imaging probabilistic-clustering adjusted-rand-index possibilistic-clustering-algorithms silhouette-score spectral-bands salinas-dataset calinski-harabasz-index
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Nov 19, 2024 - MATLAB
Implementation of various supervised and unsupervised machine learning algorithms in MATLAB using C/C++
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Oct 26, 2021 - MATLAB
Completed assignments of the famous Andrew Ng's Machine Learning course on Coursera
neural-network clustering regression supervised-learning classification unsupervised-learning anomaly-detection
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Jun 10, 2019 - MATLAB
Code of the paper "Cluster Analysis Based on Fasting and Postprandial Plasma Glucose and Insulin Concentrations"
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Feb 11, 2024 - MATLAB
Coursea Mooc : https://www.coursera.org/learn/machine-learning
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Apr 17, 2018 - MATLAB
A distance metric analysis approach to pattern characterisation
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May 2, 2017 - MATLAB
Machine Learning course that covers the most effective ML techniques, the theoretical underpinnings of learning, the practical knowledge needed to quickly and powerfully apply these techniques to new problems, and best practices in innovation as it pertains to machine learning and AI.
machine-learning data-mining clustering matlab linear-regression octave supervised-learning dimensionality-reduction logistic-regression unsupervised-learning support-vector-machines bias-variance statistical-pattern-recognition
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May 14, 2019 - MATLAB
Exploration and analysis of socio-economic and health data from 167 countries using MATLAB. Application of clustering algorithms to identify development patterns, visualize disparities, and understand global trends.
machine-learning clustering matlab data-visualization feature-selection pca data-analysis country-data unsupervised-learning health-indicators socio-economic-indicators k-means-clustering pearson-correlation elbow-method human-development-index k-medoids-clustering k-median-clustering silhouette-score calinski-harabasz-index davies-bouldin-index
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Nov 27, 2024 - MATLAB
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