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BMCBI
2007
126views more  BMCBI 2007»
15 years 6 months ago
Including probe-level uncertainty in model-based gene expression clustering
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Ra...
PODS
2008
ACM
159views Database» more  PODS 2008»
16 years 6 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
IJCNN
2008
IEEE
16 years 1 months ago
Two-level clustering approach to training data instance selection: A case study for the steel industry
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
Heli Koskimäki, Ilmari Juutilainen, Perttu La...
MMDB
2004
ACM
148views Multimedia» more  MMDB 2004»
16 years 3 days ago
A unified framework for image database clustering and content-based retrieval
With the proliferation of image data, the need to search and retrieve images efficiently and accurately from a large image database or a collection of image databases has drastica...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
JODL
2006
131views more  JODL 2006»
15 years 6 months ago
Keyframe-based video summarization using Delaunay clustering
Recent advances in technology have made tremendous amount of multimedia information available to the general population. An efficient way of dealing with this new development is t...
Padmavathi Mundur, Yong Rao, Yelena Yesha