Mosclust: a software library for discovering significant structures in bio-molecular data. The R package mosclust (model order selection for clustering problems) implements algorithms based on the concept of stability for discovering significant structures in bio-molecular data. The software library provides stability indices obtained through different data perturbations methods (resampling, random projections, noise injection), as well as statistical tests to assess the significance of multi-level structures singled out from the data.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Giancarlo, R.; Utro, F.: Algorithmic paradigms for stability-based cluster validity and model selection statistical methods, with applications to microarray data analysis (2012)
- Yu, Zhiwen; Wong, Hau-San; You, Jane; Yu, Guoxian; Han, Guoqiang: Hybrid cluster ensemble framework based on the random combination of data transformation operators (2012)
- Yu, Zhiwen; You, Jane; Wong, Hau-San; Han, Guoqiang: From cluster ensemble to structure ensemble (2012)
- Valentini, Giorgio: Mosclust: A software library for discovering significant structures in bio-molecular data (2007)
Further publications can be found at: http://homes.di.unimi.it/~valenti/SW/mosclust/node10.html