Microarray data clustering based on temporal variation: FCV with TSD preclustering.

@article{MllerLevet2003MicroarrayDC,
  title={Microarray data clustering based on temporal variation: FCV with TSD preclustering.},
  author={Carla S M{\"o}ller-Levet and Kwang-Hyun Cho and Olaf Wolkenhauer},
  journal={Applied bioinformatics},
  year={2003},
  volume={2 1},
  pages={35-45}
}
The aim of this paper is to present a new clustering algorithm for short time-series gene expression data that is able to characterise temporal relations in the clustering environment (ie data-space), which is not achieved by other conventional clustering algorithms such as k -means or hierarchical clustering. The algorithm called fuzzy c -varieties clustering with transitional state discrimination preclustering (FCV-TSD) is a two-step approach which identifies groups of points ordered in a… CONTINUE READING