Clustering for high-dimension, low-sample size data using distance vectors.

Yoshikazu Terada

Published in: CoRR (2013)

Keyphrases

sample size
high dimension
data sets
input space
small sample
feature vectors
high dimensional data
model selection
decision trees
input data
data analysis
high dimensional
real valued
training set
random sampling
training data
random sample
small samples