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Search results for dataset dimensionality reduction
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dimensionality-reduction
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7 search results found
Datasets
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521
A repository of pretty cool datasets that I collected for network science and machine learning research.
Ivis
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304
Dimensionality reduction in very large datasets using Siamese Networks
Pytorch_cpp
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215
Deep Learning sample programs using PyTorch in C++
Swne
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100
Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets
Tsne Viz
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69
Python Wrapper for t-SNE Visualization
Csn
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37
Interactive Visualization Interface for Multidimensional Datasets
Boostedfactorization
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31
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
Federated_pca
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27
Federated Principal Component Analysis Revisited!
Dynamicalcomponentsanalysis
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24
Dynamical Components Analysis
Har
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18
Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
Snedata
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11
SNE Simulation Dataset Functions
Dimensionality Reduction Pca
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5
Dimensionality reduction is basically a process of reducing the amount of random features,attributes variables or in this case called dimensions in a dataset and leaving as much variation in the dataset as possible by obtaining a set of only relevant features to increase the effiency of a model.
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