DROP frontend.
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Updated
Feb 25, 2021 - JavaScript
DROP frontend.
Visualizations of Dimensionality Reduction techniques using D3.js
Self-organizing map
Visualize high-dimensional data
This study presents an innovative web application designed to apply visual analytics and dimensionality reduction techniques, specifically utilizing D3.js and Druid.js, to the analysis of sports betting odds.
Autoencoder.js
A tool that performs 3D embedding of data and provides interactive visualization.
MLExplore.js: Exploring High-Dimensional Data by Interacting and Interpreting t-SNE and K-Means.
Interactive quality analysis for two-dimensional embeddings
Visualizing the distortion measured by Steadiness & Cohesiveness
an interactive explorer for flow cytometry data
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
Implementation of CDR - Interactive Visual Cluster Analysis by Contrastive Dimensionality Reduction
2017 Spring (105-2) -- Machine Learning
Interactive Visualization Interface for Multidimensional Datasets
A JavaScript Library for Dimensionality Reduction
JavaScript implementation of UMAP
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