The literature on cluster analysis has a long and rich history in several different fields. In this paper, we provide an overview of the more well-known clustering methods frequently used to analyse ordinal data.We summarize and compare their main features discussing some key issues. Finally, an example of application to real data is illustrated comparing and discussing clustering performances of different methods.
Ranalli, M., Rocci, R. (2015). Clustering methods for ordinal data: A comparison between standard and new approaches. In Advances in Statistical Models for Data Analysis (pp. 221-229). Springer [10.1007/978-3-319-17377-1_23].
Clustering methods for ordinal data: A comparison between standard and new approaches
ROCCI, ROBERTO
2015-01-01
Abstract
The literature on cluster analysis has a long and rich history in several different fields. In this paper, we provide an overview of the more well-known clustering methods frequently used to analyse ordinal data.We summarize and compare their main features discussing some key issues. Finally, an example of application to real data is illustrated comparing and discussing clustering performances of different methods.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
