dist：需要使用的距离函数。
规则距离函数是规则聚类中的重要一环。
The rule distance function is the key feature of rule clustering.
在度量空间中有一个定义好了的距离函数。
There is an interval function that has been defined in Metric Space.
根据距离函数可以方便地求得较为合理的分配。
Depending on the distance function, we can easily get the effective assignment.
使用Solr的距离函数根据距离增强数据是非常容易的。
Boosting by distance is quite easy using Solr's distance functions.
文中的曲面或用参数方程表达或用符号距离函数表达。
In this paper, the surface is presented with a parameterized equation or a signed distance function.
在本文中，我们提出了一种新的无需距离函数的聚类方法。
In this paper, we propose a new method for clustering without distance functions.
符号距离函数重构是水平集方法中必不可少、且相当费时的步骤。
The reconstruction of signed distance function (SDF) is an imperative and time-consuming step in level set method.
度量的距离函数是基于概率事件结构达到一致的最长因果集束链的长度。
The distance function of the metric is based on the length of the longest bundle chain in probabilistic event structures.
在建立与优化多元测量表阶段，应采用传统的指标等权重马氏距离函数。
In the stage of construction and optimization of the measurement scale, traditional Mahalanobis distance function with the same weights for every variable is adopted.
针对区域内热电产品的成本分配问题，提出了基于产出距离函数的成本分配方法。
The paper presents a new cost allocation method based on output distance function for assigning the costs associated with these common equipment items and fuels to the regional cogeneration products.
用距离函数对图像的特征向量进行相似性度量，从而实现SIFT特征向量的匹配。
The distance function is used for similarity measure of image feature vector and realizes the matching of feature vector.
传统的技术效率测算方法主要包括参数方法和基于径向技术距离函数的非参数DEA方法。
Traditional methods of technical efficiency measurement include parametric method and the non-parametric DEA based on radial technology distance function mainly.
运用核函数将原始数据映射到核空间中得到核矩阵，再利用L1范数使距离函数达到最小。
It maps original data to kernel space to get a kernel matrix, and utilizes kernel function and L1 norm to minimize the distance function.
当它被设置为对数或线性类型时，如果你修改音量距离函数，类型将自动更改为自定义衰减。
If you try to modify the volume distance function when it is set to Logarithmic or Linear, the type will automatically change to Custom Rolloff.
音量，平衡调整，扩散和低通音频滤波器的距离函数。当前到音频监侦听器的距离在图中标记。
Distance functions for Volume, Pan, Spread and Low-Pass audio filter. The current distance to the Audio Listener is marked in the graph.
所提出的方法是对基于测地距离函数和形态中值方法的扩展，以提高插值方法的有效性为目的。
The proposed method is an improvement of the geodesic distance function approach and morphological median approach, which increases the method's effectiveness.
利用集合的表示函数、支撑函数、距离函数和投影等研究闭凸体的典范表示及点到边界的投影特征。
Some relationships among the support function and indicator function of a convex set and their second-order epi-derivatives are given.
大容量多媒体数据库的基于内容相似性的检索本质上是高维特征空间中一定距离函数的K近邻问题。
Searches based on content similarities in large multimedia libraries are essentially K nearest neighbor searches in high dimensional Spaces.
方法采用两个不同态的密度算符距离函数方法，从理论上研究两个不同多模奇相干态光场之间的距离。
Methods the distance between two different multimode odd coherent state light fields was analyzed theoretically by the method of distance functions of density operator.
而后，创建了一种距离函数来表征预测与实际降雨量之间的差距，最后用距离和的最小作为评价函数。
Then, via building a Measure function to represent gap between forecast-rainfall and actual-rainfall. Eventually, to take minimum of the sum of distance as evaluation function.
并提出了一种基于路段变量的连续可导的边际函数和距离函数，从而把两层规划转化成单层规划问题。
The traditional bi-level model formulation of these problems is transformed into a single-level continuously differentiable problem using a marginal function approach.
在本文中，我们主要研究具有非负曲率完备非紧流形的体积增长与闭测地线及距离函数临界点一些关系。
The paper gives a simple version and progress of the open Riemannian manifolds with nonnegative Ricci curvature and large volume growth from 1990.
另一方面，对线性融合后的特征，利用距离测度学习算法从图像训练集中学到一个距离函数以更恰当的反映图像内容间的相似度。
On the other hand, a proper distance metric, which reflects the semantic similarity between images, is obtained by using a distance metric learning algorithm.
而另一方面，基于平方距离函数的方法将这个大量的计算放在预处理步骤中，而每一次的迭代中只要根据参数计算一个函数值即可。
As another successful method, the squared distance function method solved the problem by choosing another target function and putting the highest calculation work in a preprocess step.
本文给出了新的区域距离函数，根据区域距离函数对已形成的区域进行合并直至满足条件为止，此时得到的区域为最后的分割结果。
We give the new region distance function, which combines the regions until conditions are met. The gained regions are final segmentation outcome.
GNP利用节点坐标和距离函数来计算网络距离，不会为了测量距离附带产生很多的通信流量，在优化性能上是一种轻量级的算法机制。
GNP USES node coordinates and distance function to calculate network distance, not to measure distance with a lot of communications traffic.
然后用模糊聚类的方法实现目标的分类，并根据实际数据的特点灵活地选择和调整了模糊聚类的距离函数，比较简洁地实现了目标的分类。
Objects are classified by using fussy clustering method. Distance function is selected and adjusted in conformity to the character of practical data. Elliptical objects are classified concisely.
该模型采用二值化水平集方法实现，避免了传统实现方法水平集函数需要重新初始化为符号距离函数，从而导致稳定性差、计算量大、实现复杂等缺点。
The model was implemented by level set method with a binary level set function to reduce the expensive computational cost of re-initialization of the traditional level set function.
此函数将以输入点为基础，按照用户指定的距离创建一个新缓冲区轮廓数据层。
This function will create a new buffer feature data layer around the input point features at user specified distance.
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