Empirical Study on Unsupervised Feature Selection for Document Clustering.

Ausra Mackute-Varoneckiene Tomas Krilavicius

Published in: Baltic HLT (2014)

Keyphrases

empirical studies
unsupervised feature selection
document clustering
negative matrix factorization
nonnegative matrix factorization
data clustering

clustering algorithm
feature selection
text mining
document collections
clustering method

cluster analysis
k means
text documents
dimensionality reduction
computer vision

machine learning
data sets
spectral clustering
text categorization
natural language