165 search results - page 23 / 33 » Adaptive dimension reduction for clustering high dimensional... |
93
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DATESO
2010
14 years 9 months ago
2010
Abstract. The high dimensionality of the data generated by social networks has been a big challenge for researchers. In order to solve the problems associated with this phenomenon,...
121
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DATAMINE
2006
14 years 11 months ago
2006
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
120
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KDD
2007
ACM
16 years 2 days ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
118
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SAC
2006
ACM
15 years 5 months ago
2006
ACM
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
126
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ICIP
2007
IEEE
15 years 6 months ago
2007
IEEE
We consider approaches for exact similarity search in a high dimensional space of correlated features representing image datasets, based on principles of clustering and vector qua...