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» Clustering Rules Using Empirical Similarity of Support Sets
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89
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ACSAC
2009
IEEE
15 years 4 months ago
An Empirical Approach to Modeling Uncertainty in Intrusion Analysis
: © An Empirical Approach to Modeling Uncertainty in Intrusion Analysis Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja Sakthivelmurugan HP Laboratories HPL-2009-334 intrusion de...
Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja S...
JMLR
2012
12 years 12 months ago
Active Clustering of Biological Sequences
Given a point set S and an unknown metric d on S, we study the problem of efficiently partitioning S into k clusters while querying few distances between the points. In our model...
Konstantin Voevodski, Maria-Florina Balcan, Heiko ...
BIOCOMP
2006
14 years 11 months ago
A Heuristic Approach to Scoring Gene Clustering Algorithms
In the past decades, many clustering algorithms have been proposed for the analysis of gene expression data, but little guidance is available to help choose among them. Given the ...
Longde Yin, Chun-Hsi Huang
87
Voted
IJCSA
2006
129views more  IJCSA 2006»
14 years 9 months ago
The SH-Tree: A Novel and Flexible Super Hybrid Index Structure for Similarity Search on Multidimensional Data
Approaches to indexing and searching feature vectors are an indispensable factor to support similarity search effectively and efficiently. Such feature vectors extracted from real...
Tran Khanh Dang
JUCS
2010
176views more  JUCS 2010»
14 years 8 months ago
An Approach to Generation of Decision Rules
: Classical classification and clustering based on equivalence relations are very important tools in decision-making. An equivalence relation is usually determined by properties of...
Zhang Mingyi, Danning Li, Zhang Ying