Mining of Cell Assay Images Using Active Semi-Supervised-Clustering

Cebron, Nicolas; Berthold, Michael R.

Mining of Cell Assay Images Using Active Semi-Supervised-Clustering

Dateien

CeBe05_alvq_icdm.pdfGröße: 412.34 KBDownloads: 106

Datum

2005

Autor:innen

Cebron, Nicolas

Berthold, Michael R.

URI (zitierfähiger Link)

http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-70549

Link zur Lizenz

Attribution-NonCommercial-NoDerivs 2.0 Generic

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

ICDM, pp. 63-69

Zusammenfassung

Classifying large datasets without any a-priori information poses a problem especially in the field of bioinformatics. In this work, we explore the problem of classifying hundreds of thousands of cell assay images obtained by a highthroughput screening camera. The goal is to label a few selected examples by hand and to automatically label the rest of the images afterwards. We deal with three major requirements: first, the model should be easy to understand, second it should offer the possibility to be adjusted by a domain expert, and third the interaction with the user should be kept to a minimum. We propose a new active clustering scheme, based on an initial Fuzzy c-means clustering and Learning Vector Quantization. This scheme can initially cluster large datasets unsupervised and then allows for adjustment of the classification by the user. Furthermore, we introduce a framework for the classification of cell assay images based on this technique. Early experiments show promising results.

Fachgebiet (DDC)

004 Informatik

Zitieren

ISO 690

CEBRON, Nicolas, Michael R. BERTHOLD, 2005. Mining of Cell Assay Images Using Active Semi-Supervised-Clustering. In: ICDM, pp. 63-69

BibTex

@article{Cebron2005Minin-5769,
  year={2005},
  title={Mining of Cell Assay Images Using Active Semi-Supervised-Clustering},
  journal={ICDM},
  pages={63--69},
  author={Cebron, Nicolas and Berthold, Michael R.}
}

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Universitätsbibliographie

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