OS-FCM: A semi-supervised clustering approach to investigating consumers' usage patterns of contactless shopping-delivery (S-D) channel.
Tianyi ChenYiik Diew WongKum Fai YuenDuowei LiXueqin WangPublished in: Expert Syst. Appl. (2024)
Keyphrases
- digital libraries
- usage patterns
- semi supervised clustering
- fuzzy c means
- clustering algorithm
- unsupervised clustering
- semi supervised
- k means
- web usage mining
- background knowledge
- metric learning
- pairwise constraints
- fuzzy clustering
- web mining
- semi supervised classification
- semi supervised learning
- nonnegative matrix factorization
- labeled data
- web logs
- document clustering
- clustering method
- log files
- image segmentation
- spectral clustering
- pairwise
- text classification
- co occurrence
- training data