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» Unsupervised Clustering In Streaming Data
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CVPR
2007
IEEE
16 years 1 months ago
Adaptive Distance Metric Learning for Clustering
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
Jieping Ye, Zheng Zhao, Huan Liu
ICIP
2009
IEEE
16 years 21 days ago
Unsupervised Seabed Segmentation Of Synthetic Aperture Sonar Imagery Via Wavelet Features And Spectral Clustering
An unsupervised seabed segmentation algorithm for synthetic aperture sonar (SAS) imagery is proposed. Each 2 m ? 2 m area of seabed is treated as a unique data point. A set of fea...
ICDE
2006
IEEE
164views Database» more  ICDE 2006»
16 years 1 months ago
Cluster Hull: A Technique for Summarizing Spatial Data Streams
John Hershberger, Nisheeth Shrivastava, Subhash Su...
AMW
2010
15 years 1 months ago
Robust Clustering of Data Streams using Incremental Optimization
Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
Basheer Hawwash, Olfa Nasraoui
APWEB
2006
Springer
15 years 3 months ago
Generalized Projected Clustering in High-Dimensional Data Streams
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
Ting Wang