Statistical quality evaluation of dimensionality reduction algorithms
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Updated
Aug 21, 2023 - Jupyter Notebook
Statistical quality evaluation of dimensionality reduction algorithms
In this project I look at the high dimensional MNIST dataset of handwritten digits and use PCA, t-SNE and Topological data analysis (TDA) to visualise and understand the dataset.
In this project, we are going to analyze and graphically represent high dimensional embeddings using the TensorBoard Embedding Projector.
A Framework for High-dimensional Pareto-optimal Front Visualization and Analytics
A Toolkit for Interactive Statistical Data Visualization
High dimensions balls visualization
Yale MATH 480 final project proving and simulating the Johnson-Lindenstrauss lemma
Exploring N-dimensional latent spaces generated by neural variational autoencoders
Attempt to show high dimensional data. I ended up going with a parallelogram as it allows lots of dimensions. The drawback of using a parallelogram is that it can be hard to read and get crowded. In this implementation I would've liked to have changed the color of each line for each car, but I ran out of time. Hover functionality to see what car…
NBalls Visualization
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