NbClust - 错误：无法分配大小为 x 的向量

Question

我在 R 中运行 k-means 聚类，并希望NbClust用于帮助确定最佳聚类数。我的数据集df有 636,688 行和 7 列。

当我运行时NbClust(df, min.nc = 2, max.nc = 3, method = "kmeans")，我得到：

Error: cannot allocate vector of size 1510.1 Gb
In addition: Warning messages:
1: In dist(jeu, method = "euclidean") :
  Reached total allocation of 32767Mb: see help(memory.size)
2: In dist(jeu, method = "euclidean") :
  Reached total allocation of 32767Mb: see help(memory.size)
3: In dist(jeu, method = "euclidean") :
  Reached total allocation of 32767Mb: see help(memory.size)
4: In dist(jeu, method = "euclidean") :
  Reached total allocation of 32767Mb: see help(memory.size)

这是我的sessionInfo：

R version 3.0.2 (2013-09-25)
Platform: x86_64-w64-mingw32/x64 (64-bit)

locale:
[1] LC_COLLATE=English_United Kingdom.1252  LC_CTYPE=English_United Kingdom.1252    LC_MONETARY=English_United Kingdom.1252
[4] LC_NUMERIC=C                            LC_TIME=English_United Kingdom.1252    

attached base packages:
[1] stats4    grid      stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] clusterSim_0.43-3 fpc_2.1-6         flexmix_2.3-11    mclust_4.2        cluster_1.14.4    MASS_7.3-29      
 [7] flexclust_1.3-4   modeltools_0.2-21 lattice_0.20-23   NbClust_1.4       rattle_2.6.26    

loaded via a namespace (and not attached):
[1] ade4_1.6-2     class_7.3-9    e1071_1.6-2    nnet_7.3-7     parallel_3.0.2 R2HTML_2.2.1   rgl_0.93.996   tools_3.0.2 

有没有办法绕过尺寸限制？我知道我可以对样本进行采样和运行NbClust，尽管我发现我的样本必须是完整数据集的 1%NbClust才能运行——我认为这个样本太小而无济于事，即使如果我确实运行了多次迭代。即使是小样本 -NbClust也很慢。我已经cluster.stats从fpc包中查看过，但这需要一个距离矩阵——这对我和我的大型数据集来说是不可能的。