Sciweavers

15494 search results - page 217 / 3099
» Computing dynamic clusters
Sort
View
CLUSTER
2010
IEEE
15 years 3 months ago
Harnessing parallelism in multicore clusters with the All-Pairs, Wavefront, and Makeflow abstractions
All-Pairs, Wavefront, and Makeflow Abstractions Li Yu
Li Yu, Christopher Moretti, Andrew Thrasher, Scott...
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
15 years 8 months ago
Leveraging user query log: toward improving image data clustering
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Hao Cheng, Kien A. Hua, Khanh Vu
BMCBI
2010
151views more  BMCBI 2010»
15 years 6 months ago
Misty Mountain clustering: application to fast unsupervised flow cytometry gating
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
István P. Sugár, Stuart C. Sealfon
MOC
1998
104views more  MOC 1998»
15 years 6 months ago
Chaos in the Lorenz equations: A computer assisted proof. Part II: Details
Abstract. Details of a new technique for obtaining rigorous results concerning the global dynamics of nonlinear systems is described. The technique abstract existence results based...
Konstantin Mischaikow, Marian Mrozek
SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
16 years 3 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li