soms

The expression patterns of genes were interpreted by self-organizing maps ( SOMs ) .

获得的基因表达谱数据集采用自组图（SOMs）法分析。

soms at Wuhan University have attracted tens of thousands of visitors to the campus until now .

武汉大学的樱花吸引了成千上万的游客。

Besides , K-means clustering and SOMs have distinct advantages over hierarchical clustering in gene clustering , while single-linkage hierarchical clustering is not recommended .

并且，应尽量避免使用单连接层次聚类，K-means聚类与SOMs算法的性能显著优于层次聚类。

The final results illustrated that hierarchical clustering prefers Pearson correlation coefficient as similarity metric and datasets normalized by line , while K-means clustering and SOMs can produce better clusters with Euclidean distance and normalized logarithm transformed datasets .

结果表明：层次聚类宜以Pearson相关系数为相似度，并对数据进行行标准化转换；K-means聚类和SOMs则宜选择Euclidean距离准则和标准化对数转换的数据。

However , in the simulation practices , to reuse SOM for building FOM is always prevented by the confused inherit relationship among the classes in SOMs , and the real reason for this is apparent , not having a uniform model library data view is the cause .

然而实际工作中，重用SOM构建FOM的工作经常被不同SOM中类的继承关系造成的语义上的歧义所困扰，究其原因，没有一个统一的模型库视图是其根源。