Low Dimensional Representation of Space Structure and Clustering of Categorical Data.
Jianjun CaoQibin ZhengNianfeng WengXingchun DiaoPublished in: ISPA/IUCC/BDCloud/SocialCom/SustainCom (2018)
Keyphrases
- categorical data
- low dimensional
- cluster analysis
- parameter free
- numerical data
- high dimensional
- dimensionality reduction
- input space
- underlying manifold
- data points
- high dimensional data
- binary data
- latent space
- semantic space
- low dimensionality
- multidimensional scaling
- numeric data
- spatial structure
- density based clustering
- embedding space
- vector space
- attribute values
- correspondence analysis
- clustering method
- principal component analysis
- hierarchical clustering algorithm
- decision trees
- euclidean space
- manifold learning
- feature space
- object recognition
- hierarchical tree
- distance based outlier detection
- data sets
- hierarchical clustering
- data analysis
- training data
- information retrieval