Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering.
Yiqun ZhangYiu-ming CheungAn ZengPublished in: IJCAI (2022)
Keyphrases
- data clustering
- attribute values
- categorical attributes
- numerical attributes
- cluster analysis
- categorical data
- numerical data
- clustering algorithm
- k means
- numeric attributes
- unsupervised learning
- exploratory data analysis
- spectral clustering
- binary valued
- continuous attributes
- unsupervised feature selection
- deterministic annealing
- databases
- partitional clustering
- clustering ensemble
- data points
- information retrieval
- concept lattice
- missing values
- machine learning
- data sets