A multi-block clustering algorithm for high dimensional binarized sparse data.
Zsolt Tibor KosztyánAndrás TelcsJános AbonyiPublished in: Expert Syst. Appl. (2022)
Keyphrases
- sparse data
- high dimensional
- clustering algorithm
- dimensionality reduction
- low dimensional
- dimension reduction
- high dimensionality
- emerging patterns
- nearest neighbor
- high dimensional data
- similarity search
- variable selection
- input image
- data points
- k means
- feature space
- machine learning
- multi dimensional
- clustering method
- kernel function
- random projections
- computer vision