Kohonen Teuvo, Somervuo Panu
Neural Networks Research Centre, Helsinki University of Technology, Finland.
Neural Netw. 2002 Oct-Nov;15(8-9):945-52. doi: 10.1016/s0893-6080(02)00069-2.
The self-organizing map (SOM) represents an open set of input samples by a topologically organized, finite set of models. In this paper, a new version of the SOM is used for the clustering, organization, and visualization of a large database of symbol sequences (viz. protein sequences). This method combines two principles: the batch computing version of the SOM, and computation of the generalized median of symbol strings.
自组织映射（SOM）通过一组拓扑结构组织的有限模型来表示输入样本的开放集。在本文中，一种新版本的SOM被用于对符号序列（即蛋白质序列）的大型数据库进行聚类、组织和可视化。该方法结合了两个原则：SOM的批处理计算版本，以及符号串广义中位数的计算。
