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gaussian-mixture-models

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jayshah19949596 / Machine-Learning-Models

Star 338

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning gaussian-mixture-models logistic-regression kmeans decision-trees knn principal-component-analysis dynamic-time-warping kmeans-clustering em-algorithm kmeans-algorithm singular-value-decomposition knn-classification gaussian-classifier value-iteration-algorithm
  • Updated May 15, 2017
  • MATLAB

Xiaoyang-Rebecca / PatternRecognition_Matlab

Star 71

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of clas…

svm pca gaussian-mixture-models pattern-recognition lda gmm kpca
  • Updated Jun 23, 2021
  • MATLAB
Machine-Learning-Toolbox

JingweiToo / Machine-Learning-Toolbox

Star 22

This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.

data-science random-forest naive-bayes machine-learning-algorithms cross-validation classification gaussian-mixture-models support-vector-machine confusion-matrix decision-tree linear-discriminant-analysis holdout ensemble-classifier leave-one-out-cross-validation k-nearest-neighbor
  • Updated Jan 10, 2021
  • MATLAB

hrshtv / HMRF-GMM-EM-Segmentation

Star 22

Image segmentation using the EM algorithm that relies on a GMM for intensities and a MRF model on the labels. Based on "Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm" (Zhang, Y et al.)

matlab expectation-maximization gaussian-mixture-models icm segmentation bayesian bayesian-inference image-segmentation gmm em markov-random-field mrf hidden-markov-random-field
  • Updated May 7, 2021
  • MATLAB

akshatb1 / MachineLearning

Star 6

This repositories contains implementation of various Machine Learning Algorithms such as Bayesian Classifier, Principal Component Analysis, Fisher Linear Discriminator, Face Recognition and Reconstruction, Gaussian Mixture Model based Segmentation, Otsu's Segmentation, Neural Network etc. Relevant data sets and results are also included.

machine-learning neural-network machine-learning-algorithms image-processing pca-analysis gaussian-mixture-models face-recognition image-segmentation support-vector-machines gmm bayesian-classifiers face-reconstruction multilayer-perceptron-network bayesian-classifier fisher-vectors
  • Updated Sep 10, 2017
  • MATLAB

ronwilson016 / Data-Science-Projects

Star 3

This repository stores my personal projects related to data science studies.

machine-learning deep-learning model-selection supervised-learning gaussian-mixture-models image-classification feedforward-neural-network unsupervised-learning support-vector-machines data-clustering sparse-regression principal-component-analysis neural-nets lstm-neural-networks fourier-transform singular-value-decomposition gabor-filters dynamic-mode-decomposition time-frequency-analysis model-discovery
  • Updated Jul 16, 2020
  • MATLAB

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