CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection.
Klemens BöhmFabian KellerEmmanuel MüllerHoang Vu NguyenJilles VreekenPublished in: SDM (2013)
Keyphrases
- data mining
- outlier detection
- information theoretic
- information theory
- information theoretic measures
- jensen shannon divergence
- entropy measure
- mutual information
- knowledge discovery
- relative entropy
- distributional clustering
- kullback leibler divergence
- cluster analysis
- jensen shannon
- kl divergence
- density ratio estimation
- data analysis
- detecting outliers
- information bottleneck
- density estimation
- detect outliers
- detection algorithm
- clustering algorithm
- data clustering
- high dimensional datasets
- low dimensional
- data mining techniques
- similarity measure
- shannon entropy
- outlier mining
- data streams
- dimensionality reduction
- information retrieval
- image sequences
- spatial outliers
- distance measure