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» From Comparing Clusterings to Combining Clusterings
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EMNLP
2007
13 years 9 months ago
V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure
We present V-measure, an external entropybased cluster evaluation measure. Vmeasure provides an elegant solution to many problems that affect previously defined cluster evaluatio...
Andrew Rosenberg, Julia Hirschberg
CSMR
2004
IEEE
13 years 11 months ago
The Weighted Combined Algorithm: A Linkage Algorithm for Software Clustering
Software systems need to evolve as business requirements, technology and environment change. As software is modified to accommodate the required changes, its structure deteriorate...
Onaiza Maqbool, Haroon A. Babri
IMSCCS
2006
IEEE
14 years 1 months ago
Combining Comparative Genomics with de novo Motif Discovery to Identify Human Transcription Factor DNA-Binding Motifs
Background: As more and more genomes are sequenced, comparative genomics approaches provide a methodology for identifying conserved regulatory elements that may be involved in gen...
Linyong Mao, W. Jim Zheng
IMSCCS
2006
IEEE
14 years 1 months ago
Clustering of Gene Expression Data: Performance and Similarity Analysis
Background: DNA Microarray technology is an innovative methodology in experimental molecular biology, which has produced huge amounts of valuable data in the profile of gene expre...
Longde Yin, Chun-Hsi Huang
INTERACTION
2009
ACM
14 years 2 months ago
A binary method for fast computation of inter and intra cluster similarities for combining multiple clusterings
In this paper, we introduce a novel binary method for fast computation of an objective function to measure inter and intra class similarities, which is used for combining multiple...
Selim Mimaroglu, A. Murat Yagci