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Code for TNNLS paper "Deep Clustering and Visualization for End-to-End High Dimensional Data analysis"

License: MIT License

Python 100.00%
clustering visualization geometric-deep-learning manifold-learning high-dimensional-data

dcv's Introduction

Hi there 👋

🌱 I’m currently interested in Graph SSL!

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dcv's Issues

关于运行时间的问题

您好

您的这篇论文非常有意义,并给了我很大的启发.但是在我运行代码时,我对于运行时间有些疑问.

在运行MNIST(70000张图片)时,仅网络初始化计算sigma花了十分钟左右的时间(没有进行后续训练),非常耗时.而论文中,DCV关于MNIST的计算统计时间为18秒左右.所以,您在统计运行时间时,是否将计算sigma的时间包括在内?

希望您能够回答我的疑问,感谢!

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