Combining Semi-supervision and Hubness to Enhance High-dimensional Data Clustering.
Mateus Curcino de LimaMaria Camila Nardini BarioniHumberto Luiz RazentePublished in: J. Inf. Data Manag. (2017)
Keyphrases
- data clustering
- high dimensional
- high dimensional spaces
- unsupervised learning
- clustering algorithm
- deterministic annealing
- cluster analysis
- dimensionality reduction
- spectral clustering
- k means
- competitive learning
- exploratory data analysis
- nearest neighbor
- low dimensional
- unsupervised feature selection
- active learning
- machine learning
- multi dimensional
- partitional clustering
- clustering ensemble
- data sets
- manifold learning
- data points
- feature space
- feature extraction
- neural network