partition.object(cluster)
partition.object()所属R语言包：cluster
Partitioning Object
分区对象
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The objects of class "partition" represent a partitioning of a dataset into clusters.
类的对象"partition"代表到集群的数据集分区。
值----------Value----------
a "partition" object is a list with the following (and typically more) components:
"partition"对象是用下面的（而且通常）组件列表：
参数：clustering
the clustering vector. An integer vector of length n, the number of observations, giving for each observation the number ("id") of the cluster to which it belongs.
聚类向量。一个长度为整数向量n，集群的若干意见，给每个观测的数量（“ID”），它属于。
参数：call
the matched call generating the object.
匹配call生成的对象。
参数：silinfo
a list with all silhouette information, only available when the number of clusters is non-trivial, i.e., 1 < k < n and then has the following components, see silhouette
与所有的轮廓信息的列表中，仅当集群的数量是不平凡的，即1 < k < n然后有以下几部分组成，看到silhouette
widthsan (n x 3) matrix, as returned by silhouette(), with for each observation i the cluster to which i belongs, as well as the neighbor cluster of i (the cluster, not containing i, for which the average dissimilarity between its observations and i is minimal), and the silhouette width s(i) of the observation.
widthsan（NX 3）矩阵，返回silhouette()，每个观测与我所属的集群，以及i的邻居簇（簇，不包含我，我之间的平均相异其意见和看法，我是最小的），轮廓宽度s(i)观察。
clus.avg.widthsthe average silhouette width per cluster.
clus.avg.widthsthe平均每个集群轮廓宽度。
avg.widththe average silhouette width for the dataset, i.e., simply the average of s(i) over all observations i. This information is also needed to construct a silhouette plot of the clustering, see plot.partition. Note that avg.width can be maximized over different clusterings (e.g. with varying number of clusters) to choose an optimal clustering.
平均avg.widththe轮廓宽度的数据集，也就是说，只要平均超过所有观测s(i)i。此信息还需要构建一个剪影聚类的图，看到plot.partition。请注意，avg.width可以最大化（如不同的数字集群）在不同的聚类，以选择最优聚类。
参数：objective
value of criterion maximized during the partitioning algorithm, may more than one entry for different stages.
在分区算法最大化的标准值，可不同阶段的多个条目。
参数：diss
an object of class "dissimilarity", representing the total dissimilarity matrix of the dataset (or relevant subset, e.g. for clara).
一个类的对象"dissimilarity"，代表数据集的总相异矩阵（或相关的子集，例如clara）。
参数：data
a matrix containing the original or standardized data. This might be missing to save memory or when a dissimilarity matrix was given as input structure to the clustering method.
包含原始的或标准化的数据矩阵。这可能会丢失，以节省内存时相异矩阵结构作为输入给定的聚类方法。
发电----------GENERATION----------
These objects are returned from pam, clara or fanny.
这些对象返回从pam，clara或fanny。
方法----------METHODS----------
The "partition" class has a method for the following generic functions: plot, clusplot.
类"partition"有以下的通用功能的方法：plot，clusplot。
遗传----------INHERITANCE----------
The following classes inherit from class "partition" : "pam", "clara" and "fanny".
下面的类继承自类"partition"："pam"，"clara"和"fanny"。
See pam.object, clara.object and fanny.object for details.
看到pam.object，clara.object和fanny.object详情。
参见----------See Also----------
pam, clara, fanny.
pam，clara，fanny。
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。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-2-16 22:04:19
