Proposing a Dimensionality Reduction Technique With an Inequality for Unsupervised Learning from High-Dimensional Big Data.
Hassan IsmkhanMohammad IzadiPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2023)
Keyphrases
- big data
- unsupervised learning
- dimensionality reduction
- high dimensional
- low dimensional
- high dimensional data
- cloud computing
- social media
- data points
- high volume
- feature space
- locally linear embedding
- big data analytics
- manifold learning
- data processing
- business intelligence
- data management
- data analysis
- massive data
- vast amounts of data
- data science
- principal component analysis
- unstructured data
- data intensive computing
- semi supervised
- knowledge discovery
- feature extraction
- massive datasets
- training set
- social computing
- information systems
- data warehousing
- data integration
- real world
- data sets
- database