agnes.object(cluster)
agnes.object()所属R语言包：cluster
Agglomerative Nesting (AGNES) Object
凝聚嵌套对象（雅丽斯）
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The objects of class "agnes" represent an agglomerative hierarchical clustering of a dataset.
类的对象"agnes"代表凝聚层次聚类的数据集。
值----------Value----------
A legitimate agnes object is a list with the following components:
一个合法的agnes对象是一个具有下列组件的列表：
参数：order
a vector giving a permutation of the original observations to allow for plotting, in the sense that the branches of a clustering tree will not cross.
矢量给人一种原始观测置换允许图，在这个意义上，一个聚类树的树枝不会越过。
参数：order.lab
a vector similar to order, but containing observation labels instead of observation numbers. This component is only available if the original observations were labelled.
矢量order，但观测的数字，而不是观察标签。如果原来的意见被打成这个组件是唯一可用的。
参数：height
a vector with the distances between merging clusters at the successive stages.
合并在连续阶段的集群之间的距离向量。
参数：ac
the agglomerative coefficient, measuring the clustering structure of the dataset. For each observation i, denote by m(i) its dissimilarity to the first cluster it is merged with, divided by the dissimilarity of the merger in the final step of the algorithm. The ac is the average of all 1 - m(i). It can also be seen as the average width (or the percentage filled) of the banner plot. Because ac grows with the number of observations, this measure should not be used to compare datasets of very different sizes.
凝聚系数，测量数据集的聚类结构。我为每个观察，记为M（I），其相异除以在该算法的最后一步合并的不同，它是合并的第一簇。 ac是平均所有1 - M（I）。它也可以被看作是平均宽度（或填充的百分比）的旗帜图。 ac因为增长的若干意见，这项措施不应该被用来比较非常不同大小的数据集。
参数：merge
an (n-1) by 2 matrix, where n is the number of observations. Row i of merge describes the merging of clusters at step i of the clustering. If a number j in the row is negative, then the single observation |j| is merged at this stage. If j is positive, then the merger is with the cluster formed at stage j of the algorithm.
（N-1）2矩阵，其中n为若干意见。 i行的merge介绍了在加强我的聚类簇的合并。如果在该行数J是否定的，那么单观察| J |合并，在此阶段。如果j是积极的，那么合并算法j阶段形成的集群。
参数：diss
an object of class "dissimilarity" (see dissimilarity.object), representing the total dissimilarity matrix of the dataset.
类对象"dissimilarity"（见dissimilarity.object），代表数据集的总相异矩阵。
参数：data
a matrix containing the original or standardized measurements, depending on the stand option of the function agnes. If a dissimilarity matrix was given as input structure, then this component is not available.
矩阵包含原始的或标准化的测量，取决于stand选项的功能agnes。如果相异矩阵的输入结构，然后这个组件不可用。
发电----------GENERATION----------
This class of objects is returned from agnes.
这一类的对象，则返回从agnes。
方法----------METHODS----------
The "agnes" class has methods for the following generic functions: print, summary, plot.
"agnes"类有以下的通用功能的方法：print，summary，plot。
遗传----------INHERITANCE----------
The class "agnes" inherits from "twins". Therefore, the generic functions pltree and as.hclust are available for agnes objects. After applying as.hclust(), all its methods are available, of course.
从"agnes"类"twins"继承。因此，通用的功能pltree和as.hclustagnes对象提供的。 应用as.hclust()后，所有的方法可用，当然。
参见----------See Also----------
agnes, diana, as.hclust, hclust, plot.agnes, twins.object.
agnes，diana，as.hclust，hclust，plot.agnes，twins.object。
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
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发表于 2012-2-16 19:33:55
