Search and Classification of High Dimensional Data.

Published in: APPROX (2002)

Keyphrases

high dimensional data
high dimensionality
dimensionality reduction
dimension reduction
nearest neighbor
high dimensional
low dimensional
small sample size
data points
data sets
high dimensions
regression problems

pattern recognition
multivariate temporal data
subspace clustering
similarity search
data analysis
feature extraction
high dimensional feature spaces
lower dimensional
data distribution
missing values
linear discriminant analysis
high dimensional spaces

nearest neighbor search
input space
feature selection
clustering high dimensional data
support vector
manifold learning
decision trees
dimensionality reduction methods
variable weighting
support vector machine
database
nonlinear dimensionality reduction

high dimensional data sets
dimensional data
subspace learning
training data
text data
sparse representation
text classification
feature vectors
training set
training samples
input data
principal component analysis