Event-based Clustering for Reducing Labeling Costs of Incident-Related Microposts.
Axel SchulzPetar RistoskiJohannes FürnkranzFrederik JanssenPublished in: MUD@ICML (2015)
Keyphrases
- unsupervised learning
- costs can be reduced
- k means
- closely related
- clustering algorithm
- spectral clustering
- machine learning
- clustering method
- image segmentation
- self organizing maps
- categorical data
- optimal solution
- active learning
- data sets
- event detection
- data clustering
- fuzzy clustering
- dissimilarity measure
- expected cost
- data mining