Classification data set from the UCI Machine Learning Repository
The format of the data is a list with components $obs and $lab. "zoo$obs" includes the observations that are stored as numerical values. "zoo$lab" contains the labels of the data.
A simple classification data set containing 17 Boolean-valued attributes with 101 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.
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