Topic: "principal-components"
ganguli-lab/twpca
🕝 Time-warped principal components analysis (twPCA)
Language: Jupyter Notebook - Size: 43.4 MB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 124 - Forks: 24

syamkakarla98/Dimensionality-reduction-and-classification-on-Hyperspectral-Images-Using-Python
In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.
Language: Jupyter Notebook - Size: 8.66 MB - Last synced at: 26 days ago - Pushed at: over 4 years ago - Stars: 83 - Forks: 33

federicomarini/pcaExplorer
pcaExplorer - Interactive exploration of Principal Components of Samples and Genes in RNA-seq data
Language: R - Size: 60 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 56 - Forks: 17

jhoelzl/HRTF-Individualization
Head-related Transfer Function Customization Process through Slider using PCA and SH in Matlab
Language: MATLAB - Size: 19.3 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 49 - Forks: 14

benedekrozemberczki/NMFADMM
A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
Language: Python - Size: 7.13 MB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 46 - Forks: 11

andylamp/federated_pca
Federated Principal Component Analysis Revisited!
Language: MATLAB - Size: 7.19 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 33 - Forks: 6

mkucz95/customer_segmentation
Unsupervised ML: Finding Customer Segments in General Population
Language: HTML - Size: 729 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 14 - Forks: 3

kennethleungty/Principal-Component-Regression
Principal Component Regression - Clearly Explained and Implemented
Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: 27 days ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 5

nunofachada/amvidc
Data clustering algorithm based on agglomerative hierarchical clustering (AHC) which uses minimum volume increase (MVI) and minimum direction change (MDC) clustering criteria.
Language: Matlab - Size: 131 KB - Last synced at: about 1 month ago - Pushed at: over 9 years ago - Stars: 8 - Forks: 4

hkiang01/Applied-Machine-Learning
Applied Machine Learning
Language: Python - Size: 58.8 MB - Last synced at: about 2 years ago - Pushed at: almost 9 years ago - Stars: 7 - Forks: 4

charlesdavid/JED
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.
Language: HTML - Size: 286 MB - Last synced at: 11 months ago - Pushed at: almost 7 years ago - Stars: 5 - Forks: 3

AdityaDutt/PCALinearityCheck
A demonstration of how to use PCA to see if data is linear or not
Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: 14 days ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0

LaxmiChaudhary/Classifying-silhouettes-of-vehicles
Unsupervised Learning (PCA) on Vehicle dataset
Language: Jupyter Notebook - Size: 4.68 MB - Last synced at: 7 months ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 10

RenanWuicik7/Pontos_Principais_Html_Css
Anotações dos pontos principais dos Cursos de HTML e CSS iniciantes
Size: 7.81 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

saramille/Breast-cancer-Data-analysis
This repository is a series of notebooks that show analysis and modeling of the Breast Cancer data from Kaggle.
Language: Jupyter Notebook - Size: 466 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

xinghuq/DA
DA incorporates the commonly used linear and non-linear, local and global supervised learning approaches (discriminant analysis). These discriminant analyses can be used to do ecological and evolutionary inference. We show the examples of demographic history inference, species identification, and population structure inference in the vignettes using the supervised discriminant analysis.
Language: R - Size: 4.19 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

evrial/PCA-dimensionality-reduction
Minimal PCA library based on numpy and examples of practical dimensionality reduction use of the principal components in ETF market analysis.
Language: Jupyter Notebook - Size: 3.07 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

gianlucatruda/pca-vis
Real-time tool for exploring the relationships between PCA components and input features
Language: Python - Size: 6.48 MB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

quantfinlib/skpcp
python library for principal component pursuit
Language: Python - Size: 328 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

eiliaJafari/PCA-handwritten-digits
Figuring out which handwritten digits are most differentiated with PCA.
Language: Jupyter Notebook - Size: 916 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

KAR-NG/Human-Resource-Data-Mining
5 analytical tasks have been completed using VAT validated gower-PAM clustering, Correspondence Analysis (CA), Asym-Biplot, Multiple Correspondence Analysis (MCA), Chi-Squared test, Regression, and predictive classification models with KNN, SVM, and Random Forest.
Language: R - Size: 5.81 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

monti-nicolas/unsupervised-learning-clustering
Using principal component and clustering analysis on a customer segmentation case.
Language: Jupyter Notebook - Size: 525 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

alex-mathew/PCT-Based-Image-Denoising
Project under the supervision of Prof. B. Krishna Mohan, Satellite Image Processing Lab, CSRE, IITB to denoise a 4 band satellite image using a pipeline of PCT, Removal of PC corresponding to lowest Eigen Value and Inverse PCT
Language: Python - Size: 33.3 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

isammitr/identifyCustomerSegments
Unsupervised Learning: Identify Customer Segments
 - Principal Component Analysis and Clustering
Language: Jupyter Notebook - Size: 296 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

aritra90/COGG
This repository contains instructions to run the method, COGG or Correlation Optimization of Genetics and Geodemographics.
Language: Matlab - Size: 26.4 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

eddyherrera/Estad-stica-Aplicada-Multivariada
EstadĂstica Aplicada
Size: 1000 Bytes - Last synced at: 9 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

DSCPoltekpos/Py-PCA-Calory
Method Principal Component Analysis
Language: Python - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0
