Sunday, 16 November 2014

Call for Papers IJCNN 2015 Special Session "Multiple Clusterings"

Special Session for IEEE IJCNN 2015.


Currently, more and more data are collected from multiple sources or represented by multiple views (e.g., text, video, images, biological data, among others). In this context, clustering techniques are often required to be able to provide several possibilities for analyzing the data. As a consequence, in recent years, the interdisciplinary research topic on multiple clusterings has drawn significant attention of the data mining community.

The research in such a field encompasses those of well-established areas, such as cluster ensemble, multi-objective clustering, multi-view clustering and constraint-based clustering. In this special session, we aim at bringing together  researchers from these areas to discuss questions in multiple clusterings.


Papers must present original work or review the state-of-the-art in the following non-exhaustive list of topics:
  • Cluster ensemble
  • Multi-objective clustering
  • Multi-view clustering
  • Constraint-based clustering
  • Semi-supervised clustering
  • Model selection and visualization
  • Applications (e.g., document mining, bioinformatics, marketing, among others)


IMPORTANT: the ** deadline ** for paper submission to special sessions is the same of that of IJCNN 2015, ** February 5th 2015***.

Prospective authors are invited to submit papers via the IJCNN 2015 conference submission system at:

Please make sure to select the Special Session "Multiple clusterings" from the "S. SPECIAL SESSION TOPICS" name in the "Main Research topic" drop-down list. Templates and instruction for authors are provided on the IJCNN website.

All papers submitted to the special sessions will be subject to the same peer-review procedure as regular papers. Accepted papers will be published in the conference proceedings.

Further information about IJCNN 2015 can be found at


Prof. Marcilio C. P. de Souto and Dr. Guillaume Cleuziou
Constraints and Machine Learning (CA) Team
Laboratoire d'Informatique Fondamentale d'Orléans (LIFO)
University of Orléans, Orléans, France

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