40 search results - page 3 / 8 » Dynamic Clustering of Evolving Streams with a Single Pass |
ICDM
2009
IEEE
13 years 3 months ago
2009
IEEE
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
ICDE
2007
IEEE
14 years 6 months ago
2007
IEEE
Data is often collected over a distributed network, but in many cases, is so voluminous that it is impractical and undesirable to collect it in a central location. Instead, we mus...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Clustering video sequences in order to infer and extract activities from a single video stream is an extremely important problem and has significant potential in video indexing, s...
APPROX
2008
Springer
13 years 7 months ago
2008
Springer
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...