UALM: Unsupervised Active Learning Method for clustering low-dimensional data.
Mohammad JavadianSaeed Bagheri ShourakiPublished in: J. Intell. Fuzzy Syst. (2017)
Keyphrases
- synthetic data
- data points
- test data
- input data
- data sets
- spectral clustering
- clustering method
- high dimensional data
- unsupervised learning
- low dimensional
- multidimensional scaling
- active learning
- prior knowledge
- statistical methods
- pairwise
- dimensional data
- dimensionality reduction
- training data
- distance metric
- data analysis
- categorical data
- noisy data
- high dimensional
- k means
- similarity matrix
- embedding space
- unsupervised feature selection
- clustering ensemble
- large scale data sets
- fuzzy clustering
- data objects
- data clustering
- semi supervised
- support vector machine
- clustering algorithm
- data mining