查询词典 clustering

There are two well-known shortcomings within K-Means algorithm prevailingly used in data clustering and other center-based clustering algorithms-the number of clusters must be known beforehand and the dependence of the algorithm performance on the initialization of the initial centers.

在聚类中广泛应用的K-Means算法及其它基于中心的聚类算法有两个共同的缺陷－需要预先确定类数目且随机初始化中心引起性能不稳定。

In the traditional clustering methods based on grid and density,the interval and the density valve needs to be input with unsmoothed cluster,wrong judgement of clustering boundary.

传统的基于网格与密度的聚类方法需要用户输入间隔距离和密度阀值参数，聚类的结果不平滑，不能很好地判断边界对象的网格归属。

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 Death guitarist Schuldiner adopting vocal duties, the band made a major impact on the scene.

随着死亡的吉他手Schuldiner接受主唱的职务，乐队在现实中树立了重要的影响。

But he could still end up breakfasting on Swiss-government issue muesli because all six are accused of nicking around 45 million pounds they should have paid to FIFA.

不过他最后仍有可能沦为瑞士政府&议事餐桌&上的一道早餐，因为这所有六个人都被指控把本应支付给国际足联的大约4500万英镑骗了个精光。