A Permutation Based Procedure for Classification Assessment

作者：Costa Michele; De Angelis Luca^*

来源：Communications in Statistics - Theory and Methods, 2012, 41(16-17): 3126-3137.

DOI：10.1080/03610926.2011.608475

• Classification methods
• Classification validation
• k-means clustering
• Latent class analysis
• Permutation procedure

This article proposes a permutation procedure for evaluating the performance of different classification methods. In particular, we focus on two of the most widespread and used classification methodologies: latent class analysis and k-means clustering. The classification performance is assessed by means of a permutation procedure which allows for a direct comparison of the methods, the development of a statistical test, and points out better potential solutions. Our proposal provides an innovative framework for the validation of the data partitioning and offers a guide in the choice of which classification procedure should be used

• 出版日期2012