Heterogeneous Graph Based Similarity Measure for Categorical Data Unsupervised Learning.
Yanqing YeJiang JiangBingfeng GeKe-Wei YangHarry Eugene StanleyPublished in: IEEE Access (2019)
Keyphrases
- categorical data
- unsupervised learning
- cluster analysis
- similarity measure
- semi supervised
- hierarchical clustering algorithm
- parameter free
- numerical data
- graph model
- supervised learning
- numeric data
- clustering method
- binary data
- pairwise
- dimensionality reduction
- factor analysis
- mutual information
- density based clustering
- machine learning
- attribute values
- object recognition
- clustering algorithm
- expectation maximization
- decision trees
- information retrieval
- database
- hierarchical latent class models
- training set
- data analysis
- computer vision
- correspondence analysis
- distance based outlier detection