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» An overview of clustering methods
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PAKDD
2001
ACM
148views Data Mining» more  PAKDD 2001»
14 years 1 months ago
Scalable Hierarchical Clustering Method for Sequences of Categorical Values
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
ICCSA
2005
Springer
14 years 2 months ago
Implementing Immersive Clustering with VR Juggler
Abstract. The last advances in commodity hardware have allowed users of immersive visualization to create high-performance systems using a set of interconnected computers. These sy...
Aron Bierbaum, Patrick Hartling, Pedro Morillo, Ca...
UML
2001
Springer
14 years 1 months ago
Agile Modeling: A Brief Overview
: Agile Modeling (AM) is a practice-based methodology for effective modeling of software-based systems. Where the Unified Modeling Language (UML) defines a subset of the modeling t...
Scott W. Ambler
HYBRID
1999
Springer
14 years 27 days ago
An Overview of Hybrid Simulation Phenomena and Their Support by Simulation Packages
Continuous system dynamics can be described by, possibly large, systems of di erential equations. These can be either ordinary di erential equations (ODEs) or contain algebraic con...
Pieter J. Mosterman
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
14 years 5 months ago
On Segment-Based Stream Modeling and Its Applications.
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Charu C. Aggarwal