我发现了一个数据集导致R的CLARA算法失败（即进入一个明显无限的循环）。为什么会失败？
我觉得奇怪的是数据集非常无聊（基本上只是一个带有虚拟编码分类变量的正常变量），但也因为几乎任何关于数据集的变化或对cluster::clara的调用都避免了这个问题
有人有见识吗？我为不包括我用于生成此数据集的随机种子和程序而道歉;遗憾的是，生成它的代码是一组相当大的程序，它们来自并行随机数生成器（使用rlecuyer包生成）。我无法在标准PC上复制生成过程，因此下面是原始数据集。该错误确实会在R的操作系统和版本之间进行复制。示例sessionInfo()如下所示。
一个可能的线索是，当连续随机变量（第一列）中没有真正的组结构时，算法似乎更有可能失败。即便如此，在找到失败的数据集之前，我不得不经历数千次迭代。
# self contained example
library(cluster)
strangeData <- c(-0.866285627488327,1,0,0
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,1.33236676326001,0,0,0
,0.897539764461409,1,0,0)
这是分析部分
strangeData <- matrix(strangeData,byrow=T,ncol=4)
# Remove any column (and probably any row) and it works
# Decrease samples below 42 and it works
# Set sampsize to 199 or 201 and it works
# Change distance to euclidean and it works
# set pamLike to F and it works
resClaraManDum <- clara(
x=strangeData
,k=2
,metric='manhattan'
,samples=42
,sampsize=200
,pamLike=T
)
关于我的系统的相关信息：
sessionInfo()
R version 3.0.2 (2013-09-25)
Platform: x86_64-w64-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] cluster_1.14.4
loaded via a namespace (and not attached):
[1] tools_3.0.2