Is-ClusterMPP: clustering algorithm through point processes and influence space towards high-dimensional data.
Khadidja HenniPierre-Yves LouisBrigitte VannierAhmed MoussaPublished in: Adv. Data Anal. Classif. (2020)
Keyphrases
- high dimensional data
- low dimensional
- point processes
- subspace clustering
- lower dimensional
- input space
- clustering algorithm
- high dimensional
- dimensionality reduction
- high dimensional spaces
- nearest neighbor
- data points
- dimensional data
- high dimensionality
- similarity search
- data sets
- data distribution
- manifold learning
- data analysis
- clustering high dimensional data
- higher dimensional
- input data
- linear discriminant analysis
- hot spots
- subspace clusters
- monte carlo
- feature space
- high dimensional datasets
- computer vision
- spectral clustering
- cluster analysis
- clustering method
- markov chain
- principal component analysis
- pattern recognition
- locally linear embedding
- high dimensional data sets
- image processing
- machine learning