Reference:

Timo Honkela and Michael Knapek. Interactive two-level WEBSOM for organizational exploration. In Valeri Mladenov, Petia D. Koprinkova-Hristova, Günther Palm, Alessandro E. P. Villa, Bruno Apollini, and Nikola Kasabov, editors, Proceedings of ICANN 2013 - 23rd International Conference on Artificial Neural Networks, pages 579–585, 2013.

Abstract:

Among the large number of applications of the self-organizing map (SOM) algorithm, creating maps of document collections have become commonplace since the introduction of the WEBSOM system. This article presents a novel development in WEBSOM research. The Interactive Two-Level WEBSOM, I2WEBSOM, includes two main components, a map of terms, and a dynamic map of documents. The map of terms is used to enable interactive feature selection and weighting. The map of documents is calculated using terminology-based feature vectors where their weights can be changed using the first-level map. In the experimental part, we focus on the application of creating maps of people based on their interest or competence profiles.

Suggested BibTeX entry:

@inproceedings{HonkelaKnapek13,
    author = {Timo Honkela and Michael Knapek},
    booktitle = {Proceedings of ICANN 2013 - 23rd International Conference on Artificial Neural Networks},
    editor = {Valeri Mladenov and Petia D. Koprinkova-Hristova and G{\"u}nther Palm and Alessandro E. P. Villa and Bruno Apollini and Nikola Kasabov},
    language = {en},
    pages = {579-585},
    title = {Interactive Two-Level {WEBSOM} for Organizational Exploration},
    year = {2013},
}