引入相似度，给出了伪距离的定义，确定了二者之间的关系。
By introducing similarity degree, the definition of pseudo-distance is proposed, and the relationship between them title determined.
通过对模糊c均值算法聚类特性的分析，引入了约束函数及模式相似度的概念，提出了改进的FCM算法。
With the clustering feature analyzed, restrained function and pattern similarity are introduced. Then the algorithm of improved FCM is presented.
本文使用决策树状态捆绑方法来缓解这一问题，同时引入了一种以口形相似度为基础的决策树视频问题设计方法。
Decision trees are used to solve this problem, and at the same time, a method to create visual question set is introduced based on the similarity of mouth shapes.
本文使用决策树状态捆绑方法来缓解这一问题，同时引入了一种以口形相似度为基础的决策树视频问题设计方法。
Decision trees are used to solve this problem, and at the same time, a method to create visual question set is introduced based on the similarities of mouth shapes.
最后，引入距离权重相关性对相似度进行度量。
At last, the similarity is computed based on distance-weighted correlation.
并引入弱义原的概念，排除弱义原对词语相似度计算的干扰。
It also introduced concept about weak sememes and excluded such sememes' interference when they appeared in the computation of the word's similarity.
针对基于相似度范例检索存在的不足，将神经网络引入设计检索的研究之中，提出了基于神经网络的设计检索模型。
In allusion to insufficiency of design retrieval based on similarity, the Neural Network is introduced into design of case retrieval and a model based Neural Network is proposed.
对于盲源分离的两个固有不确定性问题，引入波形相似度的概念，使问题得到解决。
Introduce the concept of waveform similarity to deal with the two two inherent uncertainties of Blind Source Separation.
模板泛化时，引入词汇语义相似度计算和同义词扩展，提高模板覆盖率。
When generalizing patterns, semantic similarity of words and synonym extension are used to make the patterns more selective.
针对基于相似度范例检索存在的不足，将RBF引入范例检索机的设计之中。提出基于RBF的范例检索模型。
In allusion to the problem of similarity based case retrieval, the RBF is introduced into design of case retrieval and a RBF based model is proposed in this paper.
混合用户模型引入的特征兴趣度，反映了用户对特征的偏好程度，在计算用户之间相似度时更为准确。
Feature interest measure is introduced in the hybrid user model, which can reflect the degree of feature preference of users and obtain more accurate similarity between target user and the neighbors.
通过引入“样本域”的概念，由所给的有限个样本建立最大相似于样本点的样本域，计算被测样本的相似度。
By the idea of "stylebook domain", a domain that contains all stylebooks was created, to calculate the Similarity of the tested stylebook.
通过引入“样本域”的概念，由所给的有限个样本建立最大相似于样本点的样本域，计算被测样本的相似度。
By the idea of "stylebook domain", a domain that contains all stylebooks was created, to calculate the Similarity of the tested stylebook.
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