@inproceedings{
    Goncalves2012-ICIAR,
    editor = "Campilho, Aur\'{e}lio and Kamel, Mohamed",
    author = "Gonçalves, Nicolau and Vig{\'a}rio, Ricardo",
    isbn = "978-3-642-31294-6",
    series = "Lecture Notes in Computer Science",
    abstract = "Clustering is a classical tool in image analysis, with wide applications. Yet, most of its algorithmic solutions include a considerable amount of stochasticity, e . g . due to different initialisations. Here, we introduce a clustering method rooted on self organizing maps, that exploits the maps’ intrinsic variability, to produce reliable clustering. Although only a subset of the data is consistently clustered, we show that this set is trustworthy, and can be used for posterior classification.",
    affiliation = "Department of Information and Computer Science, Aalto University School of Science, P.O. Box 15400, FI-00076 Aalto, Finland",
    il = "yes",
    eventdetails = "9th International Conference on Image Analysis and Recognition, {ICIAR 2012}, Portugal, 25 June 2013 - 27 June 2012",
    year = "2012",
    owner = "ngoncalv",
    title = "Clustering through {SOM} Consistency",
    booktitle = "Image Analysis and Recognition",
    juforank = "NA",
    unitcode = "T306-100",
    impactfactor = "A4",
    responsibleauthor = "Gonçalves, Nicolau and Vig{\'a}rio, Ricardo",
    timestamp = "2012.08.13",
    volume = "7324",
    internalpdf = "Goncalves2012.pdf",
    kay = "NA",
    pages = "61-68",
    publisher = "Springer Berlin Heidelberg",
    doi = "10.1007/978-3-642-31295-3_8",
    language = "eng",
    keyword = "Computer Science",
    url = "http://dx.doi.org/10.1007/978-3-642-31295-3_8",
    country = "English",
    flags = "public AIRC"
}