Sciweavers

1013 search results - page 56 / 203
» Comparisons Between Data Clustering Algorithms
Sort
View
BMCBI
2008
121views more  BMCBI 2008»
13 years 7 months ago
Microarray data mining using landmark gene-guided clustering
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun C...
ADMA
2005
Springer
202views Data Mining» more  ADMA 2005»
13 years 9 months ago
A Latent Usage Approach for Clustering Web Transaction and Building User Profile
Web transaction data between web visitors and web functionalities usually convey users’ task-oriented behavior patterns. Clustering web transactions, thus, may capture such infor...
Yanchun Zhang, Guandong Xu, Xiaofang Zhou
ISBI
2008
IEEE
14 years 8 months ago
Fast no ground truth image registration accuracy evaluation: Comparison of bootstrap and Hessian approaches
Image registration algorithms provide a displacement field between two images. We consider the problem of estimating accuracy of the calculated displacement field from the input i...
Jan Kybic
EDBT
2008
ACM
167views Database» more  EDBT 2008»
14 years 7 months ago
HISSCLU: a hierarchical density-based method for semi-supervised clustering
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
Christian Böhm, Claudia Plant
DILS
2004
Springer
14 years 1 months ago
Heterogeneous Data Integration with the Consensus Clustering Formalism
Meaningfully integrating massive multi-experimental genomic data sets is becoming critical for the understanding of gene function. We have recently proposed methodologies for integ...
Vladimir Filkov, Steven Skiena