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» An overview of clustering methods
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DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
14 years 3 months ago
Automatic Cluster Number Selection Using a Split and Merge K-Means Approach
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Markus Muhr, Michael Granitzer
IDA
2003
Springer
14 years 2 months ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt
DESIRE
2010
13 years 3 months ago
Creativity methods in interaction design
The field of interaction design encompasses a variety of methods for fostering innovation and creativity. In this paper, we present a selection of such methods that scaffold ideat...
Michael Mose Biskjaer, Peter Dalsgård, Kim H...
VISSOFT
2005
IEEE
14 years 2 months ago
Multi-level Method Understanding Using Microprints
Understanding classes and methods is a key activity in object-oriented programming, since classes represent the abstractions from which applications are built, while methods conta...
Stéphane Ducasse, Michele Lanza, Romain Rob...
ICSE
2005
IEEE-ACM
14 years 8 months ago
What you always wanted to know about agile methods but did not dare to ask
A fleet of emerging agile methods is both gaining popularity and generating lots of controversy. Real-world examples argue for (e.g. [4]) and against (e.g. [6]) agile methods. Sev...
Frank Maurer, Grigori Melnik