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» A New Study on Distance Metrics as Similarity Measurement
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CIBCB
2007
IEEE
15 years 4 months ago
An Experimental Evaluation of Inversion-and Transposition-Based Genomic Distances through Simulations
— Rearrangements of genes and other syntenic blocks have become a topic of intensive study by phylogenists, comparative genomicists, and computational biologists: they are a feat...
Moulik Kothari, Bernard M. E. Moret
75
Voted
APVIS
2008
14 years 11 months ago
Illustrative Streamline Placement and Visualization
by the abstracting, focusing and explanatory qualities of diagram drawing in art, in this paper we propose a novel seeding strategy to generate representative and illustrative str...
Liya Li, Hsien-Hsi Hsieh, Han-Wei Shen
ICSM
2006
IEEE
15 years 3 months ago
The Conceptual Coupling Metrics for Object-Oriented Systems
Coupling in software has been linked with maintainability and existing metrics are used as predictors of external software quality attributes such as fault-proneness, impact analy...
Denys Poshyvanyk, Andrian Marcus
113
Voted
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
15 years 10 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
82
Voted
IJCNN
2000
IEEE
15 years 2 months ago
Metrics that Learn Relevance
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
Samuel Kaski, Janne Sinkkonen