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英语翻译求翻译:Clustering algorithms attempt to classify elements i

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英语翻译
求翻译:Clustering algorithms attempt to classify elements into categories,or clusters,on the basis of their similarity.Several different clustering strategies have been proposed (1),but no consensus has been reached even on the definition of a cluster.In K-means (2)and K-medoids (3) methods,clusters are groups of data characterized by a small distance to the cluster center.An objective function,typically the
sum of the distance to a set of putative cluster centers,is optimized (3–6) until the best cluster
centers candidates are found.However,because a data point is always assigned to the nearest
center,these approaches are not able to detect nonspherical clusters (7).In distribution-based al-
gorithms,one attempts to reproduce the observed realizationofdatapointsasamixofpredefined
probability distribution functions (8); the accuracy of such methods depends on the capability of the
trial probability to represent the data.
聚类算法试图分类元素分类,或集群,其相似性的基础上.几种不同的聚类策略提出了(1),但还没达成共识甚至在一个集群的定义.在k - means(2)和K-medoids(3)方法,集群组数据以一个小集群中心的距离.一个目标函数,通常
  距离之和的一套公认的集群中心,优化集群(3 - 6),直到最好的
  中心的候选人.然而,由于数据点总是分配给最近的
  中心,这些方法无法检测nonspherical集群(7)在分配的al -
  gorithms,试图再现观察realizationofdatapointsasamixofpredefined
  概率分布函数(8);这些方法的准确性取决于的能力
  试验的概率来表示数据.
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再问: We demonstrate the power of the algorithm on several test cases.怎么翻译呢?
再答: 我们将演示算法的力量在几个测试用例。
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