查询词典 clustering

In order to solve this problem, an improved pyramid technique based on fuzzy clustering is put forward. This new strategy uses a certain fuzzy clustering scheme on the original data sets at first, and then it applies pyramid technique on each cluster. By this means, the pyramid technique can be available in not only uniform data sets but also ununiform data sets.

为此，提出了一种改进的基于模糊聚类的金字塔技术，并将其用于高维划分策略，先对数据集进行模糊聚类处理，然后针对每个聚类进行金字塔划分，从而较好地实现了对非均匀分布数据的高维划分。

Tests show that the clustering algorithm's accurate rate is higher than the unweighted fuzzy clustering algorithm.

将其改进的算法运用到精准农业的土壤肥力评价中，试验结果与实际情况相符，证明了该算法的有效性。

This time, the weighted F-value is 4.898, unweighted F-value is 2.957, that shows the weighted gap between class are more obvious that unweighted one, that is, the accuracy of the clustering algorithm is significantly higher than unweighted fuzzy clustering algorithm.

此时，加权的F值为4.898，未加权的F值为2.957，说明加权的类间的差距比未加权的明显，即该算法聚类准确率要明显高于未加权的模糊聚类算法。

Department of computer, jiangxi institute of commerce, nanchang 330100, chinaabstract: clustering is a process that assorts things by their similarity,traditional clustering analysis assorts things strictly, therefore the border of the classification is very clearly.

聚类就是按照事物间的相似性进行区分和分类的过程，传统的聚类分析是一种硬划分，它把每个待辨识的对象严格地划分到某个类中，具有非此即彼的性质，因此这种分类的类别界限是分明的。

Besides, extending the concept of Label-codeword and using the K-means clustering algorithm in the field of data mining for reference, we propose the algorithm of Classified Labeled Bisecting K-means clustering, based on which a robust watermark can be embedded effectively and extracted blindly.

通过扩展码字标记码书这一概念，并借鉴数据挖掘中的K-均值聚类算法，提出了分类标记K-均值聚类的概念。利用这一概念，实现了鲁棒水印的高效嵌入和盲提取。

Fuzzy c-means clustering algorithm is one of the most widespread clustering algorithm.

0引言模糊c均值聚类是目前聚类分析中最受欢迎的算法之一。

For multimodal function optimization problems, this paper analyzes several niching strategies, combines the crowding model with the clustering algorithm, and proposes a crowding clustering genetic algorithm.

对多模态函数优化问题，分析了各种小生境策略；将拥挤模型与聚类算法相结合，提出了一种拥挤聚类遗传算法。

To overcome the limitations of the existing multi-model function optimization PSO algorithms, a clustering based niching particle swarm optimization is constructed by combining a "density based" clustering method with NichePSO.

将一种&基于密度&的聚类算法与小生境微粒群算法相结合，提出了一种基于聚类的小生境微粒群算法，克服了目前存在的算法在多峰函数寻优中存在的缺陷。

With the formative way of the fuzzy factor, the method of fuzzy-clustering for pavements sectionalized with units in different lengths is built up, and the clustering level α is explained.

对通常采用的定长1km的做法进行了分析，指出了其不足；进而引进了模糊聚类方法，阐述了其应用思路，给出了模糊相似系数的构造方法，据此利用编网法建立了路段变长划分方法，并对聚类水平α给以解释；最后论述了该法的意义，还进行了实例验证。

Automatic color transfer effectively solves this issue. Carve up Roseau and subtractive clustering is applied in this paper. Completely automatic algorithm implementation is realized. In clustering, pixels are selected according to their brightness, and those with larger data density are cluster to sample block. First of colors in the same block are transferred first, others are transferred later.

本文将网格划分减法聚类应用到颜色迁移中，完全实现算法的自动化，聚类方法按照亮度值的大小依次聚类，从各个聚类域中提取出数据点密度较大的像素点集组成样本块，首先对每个样本块间进行颜色迁移，再完成样本块以外的其他像素的颜色迁移。

Summary In copyright infringement cases,if the alleged infringer uses or even plagiarizes the copyrighted works or parts thereof,which causes no substantially adverse effect on the normal exploitation of the work,nor does it inflict any substantial damages to the right owner,the de minis doctrine should be applied to exempt the liabilities of the defendant and seek the balance of interests between the right owner and the general public embodied by the copyright law.

在侵犯著作权案件中，如果被控侵权行为人虽未经著作权人的同意，使用甚至抄袭了受著作权保护的作品或作品的片段，但若情节轻微，未对该作品的正常使用产生任何实质不利的影响，亦未对权利人的权利造成实质性的损害，则应适用&不计琐细原则&，免除行为人的责任，以寻求在权利人利益与著作权法所体现的社会公共利益之间的平衡。

This new product will become our best seller.

这个新产品会成为我们最畅销的产品。