Description Usage Arguments Details Author(s) References Examples
This dataset consists of features of handwritten numerals (‘0’–‘9’) (K=10) extracted from a collection of Dutch utility maps.
Two hundred patterns per class (for a total of 2,000 (=N) patterns)
have been digitized in binary images.
Raw observations are 32x45 bitmmaps, which are divided into
nooverlapping blocks of 2x3 and the number of pixels are counted in
each block.
This generate p=240 (16x15) variable, recodring the
normalized counts of pixels in each block and each element is an
integer in the range 0 to 6.
rownames
of DutchUtility
contains the true digits and colnames
of it contains the position of the block matrix, from which the normalized counts of pixels are taken.
1 2 | data(DutchUtility)
showDigit(index,cex.main=1)
|
index |
A scalar containing integers between 1 and 2000.
The function |
cex.main |
Specify the size of the title text with a numeric value of length 1. |
The original dataset is freely available from USIMachine Learning Repository (Frank and Asuncion (2010)) website http://archive .ics.uci.edu/ml/datasets.html.
Yumi Kondo <y.kondo@stat.ubc.ca>
Frank A, Asuncion A (2010). UCI Machine Learning Repository." http://archive.ics.uci.edu/ml.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ## Not run:
data(DutchUtility)
truedigit <- rownames(DutchUtility)
(re <- RSKC(DutchUtility,ncl=10,alpha=0.1,L1=5.7,nstart=1000))
Sensitivity(re$labels,truedigit)
table(re$labels,truedigit)
## Check the bitmap of the trimmed observations
showDigit(re$oW[1])
## Check the features which receive zero weights
names(which(re$weights==0))
## End(Not run)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.