Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes.
Yiqun ZhangYiu-ming CheungPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2022)
Keyphrases
- data clustering
- nominal attributes
- attribute values
- numeric attributes
- numerical attributes
- categorical attributes
- categorical data
- cluster analysis
- continuous attributes
- numerical data
- clustering algorithm
- k means
- unsupervised learning
- association rules
- decision trees
- distance measure
- spectral clustering
- exploratory data analysis
- unsupervised feature selection
- deterministic annealing
- distance function
- similarity measure
- data sets
- pattern recognition
- euclidean distance
- bayesian networks
- face recognition
- computer vision
- learning algorithm
- information retrieval
- machine learning