An object consists of a 528 by 2 data matrix and a 528 by 1 cluster membership vector.
There are 11 clusters each containing 48 data points in a two-dimensional space.
Details
In the original vowel data set, the 11 different words, with each one representing a vowel sound,
correspond to 11 different clusters. There are 528 training observations and 462 testing observations.
The training observations are employed to asset the performance of our algorithm and refered as the Vowel data set.
We projected the 10 dimensional data into a 2-dimensional space for examination purpose
according to the method described in Hastie, Tibshirani and Friedman(pages 84, 92, 2001).
References
Hastie, T., Tibshirani, R., Friedman, J. (2001)
The elements of statistical learning.
Springer-Verlag.