Identifying next relevant variables for segmentation by using feature selection approaches
This paper aims at identifying next relevant variables for segmentation. Different feature selection techniques are discussed and applied. The performance is assessed using four evaluation metrics for clustering. A new approach is proposed and compared with other candidates. A real application with data from the concert industry is reported in detail.
feature selection clustering filter methods customer segmentation business analytics