Clustering is a central unsupervised learning task with a wide variety of applications. Unlike in supervised learning, different clustering algorithms may yield dramatically different outputs for the same input sets. As such, the choice of algorithm is crucial. When selecting a clustering algorithm, users tend to focus on cost-related considerations, such as running times, software purchasing c...

A theoretical framework for designing interfaces for complex human-machine systems is proposed. The framework, called ecological interface design (EID), is based on the skills, rules, knowledge taxonomy of cognitive control. The basic goal of EID is twofold: first, not to force processing to a higher level than the demands of the task require, and second, to support each of the three levels of ...

1 Department of Computing Science, University of Glasgow, 17 Lilybank Gardens, G12 8QQ, UK, [email protected] 2 Fraunhofer Institut Intelligent Analysis & Information Systems (FhG IAIS), Schloss Birlinghoven, D-53754 Sankt-Augustin, Germany, [email protected] 3 Department of Computer Science and Engineering, Bagley College of Engineering, Mississippi State University, Mississ...

1 Abbreviations and Notations 3

Software ecosystems have become a defined and active field of research based on the recent emergence of new open business models leading to new roles and patterns for collaboration, innovation, and value proposition. In this paper we look into the theoretical foundations of this new research field. We review recent publications to describe the present theorization; we discuss the relevance of t...