High-Dimensional Clustering for Incomplete Mixed Dataset Using Artificial Intelligence.
Meishan LiXiaofeng LiJing LiPublished in: IEEE Access (2020)
Keyphrases
- high dimensional
- artificial intelligence
- high dimensional datasets
- high dimensionality
- high dimensional data
- data points
- clustering algorithm
- k means
- clustering method
- outlier detection
- dimensionality reduction
- noisy data
- low dimensional
- synthetic datasets
- spectral clustering
- intelligent systems
- computational intelligence
- software engineering
- machine learning
- missing values
- high dimension
- data sets
- document clustering
- parameter space
- hierarchical clustering
- fuzzy clustering
- cognitive psychology
- similarity search
- cluster analysis
- database
- multi dimensional
- feature space
- high dimensional data sets
- training data
- high dimensional spaces
- expert systems
- variable selection
- engineering design
- knowledge representation
- case based reasoning
- nearest neighbor
- unsupervised learning
- data objects
- data clustering