A User-Perceived Freshness Clustering Method to Identify Three Subgroups in Mobile Internet Users.
Toshihiko YamakamiPublished in: MUE (2008)
Keyphrases
- clustering method
- internet users
- user perceived
- response time
- website
- clustering algorithm
- hierarchical clustering
- cluster analysis
- clustering analysis
- spectral clustering
- fuzzy c means
- affinity propagation
- similarity measure
- k means
- document clustering
- subspace clustering
- end users
- clustering result
- online services
- clustering approaches
- clustering framework
- hierarchical clustering algorithm
- fuzzy c means clustering