Tracing Evolving Clusters by Subspace and Value Similarity.
Stephan GünnemannHardy KremerCharlotte LaufkötterThomas SeidlPublished in: PAKDD (2) (2011)
Keyphrases
- low dimensional
- data points
- high dimensional
- high dimensional data
- input space
- subspace clustering
- dimensionality reduction
- principal component analysis
- euclidean distance
- linear subspace
- distance function
- clustering algorithm
- unsupervised fuzzy clustering
- feature space
- similarity matrix
- highly similar
- hierarchical clustering
- similar objects
- similarity measure
- fuzzy clustering
- distance measure
- intra cluster
- overlapping clusters
- pairwise similarities
- structural similarity
- input data
- searching in metric spaces
- subspace clusters
- intra class
- similarity measurement
- similarity metric
- similarity function
- normalized cut
- cluster centers
- edit distance
- semantic similarity
- inter cluster
- spectral clustering
- rand index
- subspace projections
- affinity measure
- clustering method
- data sets