Classification data set from the UCI Machine Learning Repository
The format of the data is a list with components $obs and $lab. "soybean$obs" includes the observations that are stored as numerical values. "soybean$lab" contains the labels of the data.
A simple classification data set containing 35 attributes with 47 observations. Since the true labels are known, this data can be used to evaluate clustering methods.
Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
Loading required package: dendextend --------------------- Welcome to dendextend version 1.5.2 Type citation('dendextend') for how to cite the package. Type browseVignettes(package = 'dendextend') for the package vignette. The github page is: https://github.com/talgalili/dendextend/ Suggestions and bug-reports can be submitted at: https://github.com/talgalili/dendextend/issues Or contact: <email@example.com> To suppress this message use: suppressPackageStartupMessages(library(dendextend)) --------------------- Attaching package: 'dendextend' The following object is masked from 'package:stats': cutree Loading required package: ggplot2 Loading required package: ggdendro Attaching package: 'ggdendro' The following object is masked from 'package:dendextend': theme_dendro Loading required package: seqinr
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.