Clustering Multi-represented Objects with Noise.
Karin KailingHans-Peter KriegelAlexey PryakhinMatthias SchubertPublished in: PAKDD (2004)
Keyphrases
- data objects
- clustering algorithm
- similar objects
- density based clustering algorithm
- arbitrary shape
- similar patterns
- clustering method
- missing data
- data clustering
- hierarchical clustering
- categorical data
- spatial relations
- noise reduction
- noisy data
- cluster analysis
- k means
- d objects
- self organizing maps
- data sets
- heterogeneous information networks
- multiple objects
- median filter
- input data
- homogeneous groups
- dissimilarity matrix
- similarity measure
- high similarity
- object recognition
- cluster structure
- complex scenes
- spatial relationships
- unsupervised learning
- high dimensional data
- similarity function
- signal to noise ratio
- spectral clustering
- information theoretic