Simulated Dataset for Density Estimation
收藏arXiv2025-09-30 收录
下载链接：
https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons
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资源简介：
该数据集是一个为密度估计生成的双月数据集，包含了在二维潜在空间中的500个点。这些数据被用于比较不同VAE模型在KL散度方面的性能。具体任务包括利用VAE、Comb-VAE和Qr-VAE进行方差估计。规模上，数据集包含了500个点。
This dataset is a two-moon dataset generated for density estimation, containing 500 points in the 2-dimensional latent space. It is used to compare the performance of different Variational Autoencoder (VAE) models in terms of KL divergence. The specific tasks include performing variance estimation using VAE, Comb-VAE, and Qr-VAE. In terms of scale, the dataset contains 500 points.
提供机构：
Generated using scikit-learn
