A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering.
Yiqun ZhangYiu-Ming CheungKay Chen TanPublished in: IEEE Trans. Neural Networks Learn. Syst. (2020)
Keyphrases
- data clustering
- distance metric
- nominal attributes
- attribute values
- numerical attributes
- euclidean distance
- numeric attributes
- metric learning
- unsupervised learning
- distance metric learning
- distance function
- k means
- distance measure
- data points
- spectral clustering
- cluster analysis
- linear transformation
- deterministic annealing
- clustering algorithm
- graph partitioning
- clustering ensemble
- data sets
- real world
- computer vision
- pairwise similarities
- text classification
- learning process
- object recognition