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» An overview of clustering methods
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DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
16 years 1 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
15 years 11 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
15 years 1 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
15 years 12 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
16 years 6 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