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NMFADMM

benedekrozemberczki / NMFADMM

Sponsor
Star 42

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

optimization word2vec deepwalk matrix-factorization feature-extraction pca topic-modeling factorization lda unsupervised-learning admm sparse-matrix principal-component-analysis embedding nmf principal-components node2vec unsupervised-machine-learning word-embedding beta-divergence
  • Updated Aug 14, 2022
  • Python

charlesdavid / JED

Star 5

JED is a program for performing Essential Dynamics of protein trajectories written in Java. JED is a powerful tool for examining the dynamics of proteins from trajectories derived from MD or Geometric simulations. Currently, there are two types of PCA: distance-pair and Cartesian, and three models: COV, CORR, and PCORR.

pymol pca-analysis free-energy covariance-matrix principal-components dynamical-modeling kernel-density-estimation correlation-measures essentialmode correlation-matrices eigen-vector-decomposition subspace-identification
  • Updated May 18, 2018
  • HTML

LaxmiChaudhary / Classifying-silhouettes-of-vehicles

Star 3

Unsupervised Learning (PCA) on Vehicle dataset

machine-learning unsupervised machine-learning-algorithms naive-bayes-classifier supervised-learning pca logistic-regression machinelearning support-vector-machine unsupervised-learning-algorithms naive-bayes-algorithm principal-component-analysis principal-components naive-bayes-classification supervised-machine-learning unsupervised-machine-learning supervised-learning-algorithms
  • Updated Oct 25, 2019
  • Jupyter Notebook

atrishi / PCA-Clustering-K-means-Hierarchical-Poverty-Analysis

Star 2

Analysis of global poverty using PCA to identify important parameters and then clustering via both K-means and Hierarchical clustering techniques.

clustering economics pca-analysis pca k-means principal-component-analysis clustering-evaluation principal-components hierarchical-models economic-data hierarchical-clustering poverty clustering-methods k-means-implementation-in-python k-means-clustering developmental-economics
  • Updated Jul 21, 2020
  • Jupyter Notebook

michstg / DiabetesClassification-DecisionTree-PCA-TuningParameter

Star 2

Classification-Diabetic-Machine Learning-Algorithm-Decision Tree-Improve by-Principle Component Analysis

python machine-learning exploratory-data-analysis machine-learning-algorithms data-visualization statistical-analysis pca-analysis tuning-parameters principal-component-analysis decision-tree-classifier principal-components diabetes-prediction diabetes-dateset-analysis
  • Updated Jul 9, 2022
  • Jupyter Notebook

saramille / Breast-cancer-Data-analysis

Star 1

This repository is a series of notebooks that show analysis and modeling of the Breast Cancer data from Kaggle.

heatmap cross-validation pca dimensionality-reduction recall logistic-regression standardization knn svm-model principal-component-analysis dimension-reduction svm-classifier covariance-matrix principal-components normalization covariance-matrices knearest-neighbor-classifier sensitvity
  • Updated Jun 24, 2023
  • Jupyter Notebook

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