Then the quality of gene clustering is decided by the value of representative entropy.
然后根据代表熵的大小判断基因聚类的好坏,并确定网络的神经元个数。
参考来源 - 基于聚类算法的基因微阵列数据分析·2,447,543篇论文数据，部分数据来源于NoteExpress
可以看作是熵的粗糙模型，斯莫连尼诺乌说，它代表了热力学时间之箭。
This serves as a crude model of entropy, Smolyaninov says, representing the thermodynamic arrow of time.
文中详细阐述了几种极具代表性的决策树算法：包括使用信息熵原理分割样本集的ID3算法；
Firstly, some basic algorithms for inducing decision tree are discussed, including ID3, which uses information gain to select a splitting attribute when partitioning a training set;
应用推荐