The Impact of Cluster Stability on Class Decomposition in Antibody Display Data

2012
Inese Poļaka, Arkādijs Borisovs

This article focuses on cluster stability evaluation to assess the characteristics of the dataset and the subclasses found in class decomposition. The evaluation is an iterative process, making small changes to the dataset in every step and reapplying the cluster analysis. These small changes (removing one object from the dataset is repeated for 20 iterations in this case) should not have any impact on clusters if they are stable (meaning that other objects that were not removed stay in the same clusters as in the full clustering).

Atslēgas vārdi
class decomposition, clustering, cluster stability, data mining

Poļaka, I., Borisovs, A. The Impact of Cluster Stability on Class Decomposition in Antibody Display Data. Information Technology and Management Science. Nr.15, 2012, 70.-75.lpp. ISSN 2255-9086. e-ISSN 2255-9094.

Publikācijas valoda
English (en)