SPECT: SPECT Heart Data Set
In fanne-stat/DGCPCA: Discrete Gaussian Copula PCA
Description
Usage
Format
Source
Description
The dataset describes diagnosing of cardiac Single Proton Emission Computed Tomography (SPECT) images. Each of the patients is classified into two categories: normal and abnormal. The database of 267 SPECT image sets (patients) was processed to extract features that summarize the original SPECT images. As a result, 44 continuous feature pattern was created for each patient. The pattern was further processed to obtain 22 binary feature patterns.
Usage
1
Format
A data frame with 267 rows and 23 variables:
- F1 - F22
the partial diagnosis, binary
- class
class attribute, binary (0 - normal, 1 - abnormal)
Source
https://archive.ics.uci.edu/ml/datasets/SPECT+Heart
fanne-stat/DGCPCA documentation built on Dec. 20, 2021, 7:43 a.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
Description
The dataset describes diagnosing of cardiac Single Proton Emission Computed Tomography (SPECT) images. Each of the patients is classified into two categories: normal and abnormal. The database of 267 SPECT image sets (patients) was processed to extract features that summarize the original SPECT images. As a result, 44 continuous feature pattern was created for each patient. The pattern was further processed to obtain 22 binary feature patterns.
Usage
1 |
Format
A data frame with 267 rows and 23 variables:
- F1 - F22
the partial diagnosis, binary
- class
class attribute, binary (0 - normal, 1 - abnormal)
Source
https://archive.ics.uci.edu/ml/datasets/SPECT+Heart
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.