Code for the paper, "The Curse of Dimensionality: Inside Out", DOI = 10.13140/RG.2.2.29631.36006.
-
Updated
Sep 17, 2018 - Python
Code for the paper, "The Curse of Dimensionality: Inside Out", DOI = 10.13140/RG.2.2.29631.36006.
DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity
Comparison of various Dimensionality Reduction techiniques and Visualization of the same.
Minimal PCA library based on numpy and examples of practical dimensionality reduction use of the principal components in ETF market analysis.
My talk to UFRJ Ecology Graduate Program
Given a list of numbers in a file, estimates the dimensional expansivity of that dataset in a binary hamming space
Visualization and embedding of large datasets using various Dimensionality Reduction (DR) techniques such as t-SNE, UMAP, PaCMAP & IVHD. Implementation of custom metrics to assess DR quality with complete explaination and workflow.
The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.
montecarlo methods
Demonstration notebooks for Machine Learning
Dimensionality reduction is the process of reducing the number of features or dimensions in a dataset. This can be useful for reducing the complexity of a dataset and making it easier to work with.
Return the shape of a provided ndarray.
Return the shape of a provided ndarray.
scGEAToolbox: Matlab toolbox for single-cell gene expression analyses
Just a bunch of tools made in TypeScript.
Add a description, image, and links to the dimensionality topic page so that developers can more easily learn about it.
To associate your repository with the dimensionality topic, visit your repo's landing page and select "manage topics."