1836 search results - page 6 / 368 » Mining Clustering Dimensions |
SISAP
2010
IEEE
13 years 2 months ago
2010
IEEE
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
Text classification poses some specific challenges. One such challenge is its high dimensionality where each document (data point) contains only a small subset of them. In this pap...
KDD
2000
ACM
13 years 11 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...
EDBT
2010
ACM
13 years 10 months ago
2010
ACM
Online Analytical Processing (OLAP) is a popular technique for explorative data analysis. Usually, a fixed set of dimensions (such as time, place, etc.) is used to explore and ana...
AUSAI
2007
Springer
14 years 1 months ago
2007
Springer
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...