mfeat_pix: mfeat_pix dataset
In qkerntool: Q-Kernel-Based and Conditionally Negative Definite Kernel-Based Machine Learning Tools
Description
Usage
Format
Source
Examples
Description
This dataset consists of features of handwritten numerals (‘0’–‘9’) extracted from a collection of Dutch utility maps. 200 patterns per class (for a total of 2,000 patterns) have been digitized in binary images. This dataset is about 240 pixel averages in 2 x 3 windows
Usage
1
data("mfeat_pix")
Format
A data frame with 2000 observations on the following 240 variables.
Source
https://archive.ics.uci.edu/ml/datasets/Multiple+Features
Examples
1
qkerntool documentation built on May 2, 2019, 6:11 a.m.
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Description Usage Format Source Examples
Description
This dataset consists of features of handwritten numerals (‘0’–‘9’) extracted from a collection of Dutch utility maps. 200 patterns per class (for a total of 2,000 patterns) have been digitized in binary images. This dataset is about 240 pixel averages in 2 x 3 windows
Usage
1 | data("mfeat_pix")
|
Format
A data frame with 2000 observations on the following 240 variables.
Source
https://archive.ics.uci.edu/ml/datasets/Multiple+Features
Examples
1 |
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.
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