Rapid Near-Neighbor Interaction of High-dimensional Data via Hierarchical Clustering.
Nikos PitsianisDimitris FlorosAlexandros-Stavros IliopoulosKostas MylonakisNikos SismanisXiaobai SunPublished in: CoRR (2017)
Keyphrases
- high dimensional data
- hierarchical clustering
- low dimensional
- nearest neighbor
- dimensionality reduction
- subspace clustering
- high dimensional
- data analysis
- data points
- dimension reduction
- high dimensionality
- similarity search
- clustering method
- data sets
- data distribution
- manifold learning
- hierarchical clustering algorithm
- low rank
- k means
- clustering high dimensional data
- linear discriminant analysis
- text clustering
- single linkage
- nonlinear dimensionality reduction
- high dimensional spaces
- high dimensional data sets
- partitional clustering
- variable weighting
- text data
- gene expression data
- clustering algorithm
- high dimensional datasets
- knowledge discovery
- unsupervised learning
- locally linear embedding
- input data
- principal component analysis
- face recognition
- computer vision
- machine learning