cophenetic(stats)
cophenetic()所属R语言包：stats
Cophenetic Distances for a Hierarchical Clustering
层次聚类cophenetic距离
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Computes the cophenetic distances for a hierarchical clustering.
计算一个层次聚类cophenetic距离。
用法----------Usage----------
cophenetic(x)
## Default S3 method:[默认方法]
cophenetic(x)
## S3 method for class 'dendrogram'
cophenetic(x)
参数----------Arguments----------
参数：x
an R object representing a hierarchical clustering. For the default method, an object of class "hclust" or with a method for as.hclust() such as "agnes" in package cluster.
R对象代表一个层次聚类。对于默认的方法，一个类的对象"hclust"或一种as.hclust()"agnes"包cluster的方法。
Details
详情----------Details----------
The cophenetic distance between two observations that have been clustered is defined to be the intergroup dissimilarity at which the two observations are first combined into a single cluster. Note that this distance has many ties and restrictions.
间已聚集观测cophenetic距离被定义为在这两个观测首次合并成一个单一集群际相异。请注意，这个距离有许多关系和限制。
It can be argued that a dendrogram is an appropriate summary of some data if the correlation between the original distances and the cophenetic distances is high. Otherwise, it should simply be viewed as the description of the output of the clustering algorithm.
可以说，聚类分析是适当总结一些数据，如果原来的距离和cophenetic距离之间的相关性是高的。否则，它应该简单地被视为描述的聚类算法的输出。
cophenetic is a generic function. Support for classes which represent hierarchical clusterings (total indexed hierarchies) can be added by providing an as.hclust() or, more directly, a cophenetic() method for such a class.
cophenetic是一个通用的功能。分层聚类（总索引层次）类代表的支持，可添加提供as.hclust()，或更直接的是，一个cophenetic()这样一个类的方法。
The method for objects of class "dendrogram" requires that all leaves of the dendrogram object have non-null labels.
为对象"dendrogram"类的方法需要的聚类分析对象所有的树叶有非空的标签。
值----------Value----------
An object of class "dist".
对象类"dist"。
作者（S）----------Author(s)----------
Robert Gentleman
参考文献----------References----------
Numerical Taxonomy: The Principles and Practice of Numerical Classification, p. 278 ff; Freeman, San Francisco.
参见----------See Also----------
dist, hclust
dist，hclust
举例----------Examples----------
require(graphics)
d1 <- dist(USArrests)
hc <- hclust(d1, "ave")
d2 <- cophenetic(hc)
cor(d1,d2) # 0.7659[0.7659]
## Example from Sneath & Sokal, Fig. 5-29, p.279[＃从Sneath索卡尔，图的范例。 5-29，p.279]
d0 <- c(1,3.8,4.4,5.1, 4,4.2,5, 2.6,5.3, 5.4)
attributes(d0) <- list(Size = 5, diag=TRUE)
class(d0) <- "dist"
names(d0) <- letters[1:5]
d0
utils::str(upgma <- hclust(d0, method = "average"))
plot(upgma, hang = -1)
#[]
(d.coph <- cophenetic(upgma))
cor(d0, d.coph) # 0.9911[0.9911]
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 21:55:16
