smnist: A subsampled MNIST data
In youngser/gmmase: Graph Spectral Clustering
Description
Usage
Format
Source
References
Examples
Description
Given MNIST training data, 1000 images are randomly sampled with their labels.
Usage
1
data("smnist")
Format
A list with following two object.
straina data frame with 1000 observations on 784 features (pixels).
slaba numeric label vector of length of 1000.
Source
http://yann.lecun.com/exdb/mnist/
References
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. "Gradient-based learning applied to document recognition." Proceedings of the IEEE, 86(11):2278-2324, November 1998.
Examples
1
2
youngser/gmmase documentation built on May 30, 2019, 7:19 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Format Source References Examples
Description
Given MNIST training data, 1000 images are randomly sampled with their labels.
Usage
1 | data("smnist")
|
Format
A list with following two object.
straina data frame with 1000 observations on 784 features (pixels).
slaba numeric label vector of length of 1000.
Source
http://yann.lecun.com/exdb/mnist/
References
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. "Gradient-based learning applied to document recognition." Proceedings of the IEEE, 86(11):2278-2324, November 1998.
Examples
1 2 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.