165 search results - page 7 / 33 » Adaptive dimension reduction for clustering high dimensional... |
ICDE
2007
IEEE
15 years 6 months ago
2007
IEEE
Increasingly large text datasets and the high dimensionality associated with natural language create a great challenge in text mining. In this research, a systematic study is cond...
IJON
2010
14 years 10 months ago
2010
Due to the tremendous increase of electronic information with respect to the size of data sets as well as their dimension, dimension reduction and visualization of high-dimensiona...
123
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HPDC
2010
IEEE
15 years 23 days ago
2010
IEEE
Visualization of large-scale high dimensional data tool is highly valuable for scientific discovery in many fields. We present PubChemBrowse, a customized visualization tool for c...
DATAMINE
2007
14 years 11 months ago
2007
104
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ICDM
2002
IEEE
15 years 4 months ago
2002
IEEE
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...