Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces.
Felix LanfermannSebastian SchmittPatricia WollstadtPublished in: ICDM (Workshops) (2022)
Keyphrases
- data clustering
- feature space
- k means
- clustering algorithm
- unsupervised learning
- cluster analysis
- deterministic annealing
- spectral clustering
- exploratory data analysis
- unsupervised feature selection
- high dimensional
- competitive learning
- clustering ensemble
- feature vectors
- training set
- information retrieval
- similarity measure