Segmenting and Clustering Noisy Arguments.
Lorik DumaniChristin Katharina KreutzManuel BiertzAlex WitryRalf SchenkelPublished in: LWDA (2020)
Keyphrases
- clustering algorithm
- hierarchical clustering
- k means
- self organizing maps
- information theoretic
- clustering method
- data clustering
- categorical data
- noisy environments
- graph theoretic
- document clustering
- arbitrary shape
- cluster centers
- fuzzy clustering
- noisy data
- real time
- unsupervised learning
- data points
- computer vision