Robust and compact maximum margin clustering for high-dimensional data.

Hakan Cevikalp Edward Chome

Published in: Neural Comput. Appl. (2024)

Keyphrases

high dimensional data
dimensionality reduction
nearest neighbor
high dimensional
low dimensional
high dimensions
subspace clustering
high dimensionality
similarity search

data points
data sets
dimension reduction
input space
original data
sparse representation
data analysis
clustering high dimensional data
high dimensional spaces

linear discriminant analysis
complex data
dimensional data
subspace learning
lower dimensional
high dimensional data sets
manifold learning
data distribution
low rank

high dimensional datasets
nonlinear dimensionality reduction
feature extraction
binary codes
text data
knn
data streams
low dimensional structure