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BMCBI
2006
126views more  BMCBI 2006»
15 years 20 days ago
Effect of data normalization on fuzzy clustering of DNA microarray data
Background: Microarray technology has made it possible to simultaneously measure the expression levels of large numbers of genes in a short time. Gene expression data is informati...
Seo Young Kim, Jae Won Lee, Jong Sung Bae
102
Voted
EACL
2006
ACL Anthology
15 years 2 months ago
Structuring Knowledge for Reference Generation: A Clustering Algorithm
This paper discusses two problems that arise in the Generation of Referring Expressions: (a) numeric-valued attributes, such as size or location; (b) perspective-taking in referen...
Albert Gatt
PR
2006
127views more  PR 2006»
15 years 16 days ago
Unsupervised possibilistic clustering
In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. Since the FCM memberships do not always explain the degrees of belonging for t...
Miin-Shen Yang, Kuo-Lung Wu
105
Voted
CCGRID
2006
IEEE
15 years 6 months ago
Closing Cluster Attack Windows Through Server Redundancy and Rotations
— It is well-understood that increasing redundancy in a system generally improves the availability and dependability of the system. In server clusters, one important form of redu...
Yih Huang, David Arsenault, Arun Sood
IPCCC
2006
IEEE
15 years 6 months ago
SHARP: a new real-time scheduling algorithm to improve security of parallel applications on heterogeneous clusters
This paper addresses the problem of improving quality of security for real-time parallel applications on heterogeneous clusters. We propose a new security- and heterogeneity-drive...
Tao Xie 0004, Xiao Qin, Mais Nijim