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PR
2006
116views more  PR 2006»
15 years 6 months ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli
JOT
2010
153views more  JOT 2010»
15 years 4 months ago
Identification of System Software Components Using Clustering Approach
The selection of software architecture style is an important decision of design stage, and has a significant impact on various system quality attributes. To determine software arc...
Gholamreza Shahmohammadi, Saeed Jalili, Seyed Moha...
ICDAR
2009
IEEE
16 years 1 months ago
Unsupervised HMM Adaptation Using Page Style Clustering
In this paper we present an innovative two-stage adaptation approach for handwriting recognition that is based on clustering of similar pages in the training data. In our approach...
Huaigu Cao, Rohit Prasad, Shirin Saleem, Premkumar...
PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
16 years 29 days ago
Sequential Hierarchical Pattern Clustering
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...
RAID
2007
Springer
16 years 16 days ago
The NIDS Cluster: Scalable, Stateful Network Intrusion Detection on Commodity Hardware
Abstract. In this work we present a NIDS cluster as a scalable solution for realizing high-performance, stateful network intrusion detection on commodity hardware. The design addre...
Matthias Vallentin, Robin Sommer, Jason Lee, Craig...