Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains.
Frank HöppnerMirko BöttcherPublished in: PKDD (2007)
Keyphrases
- clustering algorithm
- data points
- rand index
- application domains
- matching algorithm
- matching process
- pattern matching
- cluster analysis
- subspace clustering
- hierarchical structure
- unsupervised clustering
- fuzzy clustering
- hierarchical clustering
- template matching
- image matching
- self organizing maps
- high dimensional
- computer vision
- real world
- data sets
- document clustering
- data clustering
- noisy data
- feature points
- image retrieval
- arbitrary shape
- graph clustering
- information retrieval