15 search results - page 3 / 3 » Data Mining an EEG Dataset With an Emphasis on Dimensionalit... |
KDD
2000
ACM
13 years 9 months ago
2000
ACM
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
AUSDM
2006
Springer
13 years 9 months ago
2006
Springer
Feature Filtering is an approach that is widely used for dimensionality reduction in text categorization. In this approach feature scoring methods are used to evaluate features le...
SDM
2011
SIAM
12 years 8 months ago
2011
SIAM
Latent semantic analysis (LSA), as one of the most popular unsupervised dimension reduction tools, has a wide range of applications in text mining and information retrieval. The k...