这意味着在自组织地图中计算情节

Question

我正在使用kohonen包中的som函数，我正在使用this tutorial作为指南。

som_model <- som(t(data_train_matrix), 
             grid=som_grid, 
             rlen=1, 
             alpha=c(0.05,0.01), 
             keep.data = TRUE,
             n.hood= "circular")
plot(som_model, type="count")

我有31×1400的数据，但是当我试图读取计数图时，它与相同数量的样本不匹配（31）。我得到的情节给了我大约100个样本。

这是我的数据的一个例子

structure(c(-8691, 96233, 94318, 19206, 139453, 135652, 47782, 
56190, -63139, 161452, 83268, 194879, -4112, 193153, -55742, 
168244, -26043, 171304, 67181, -52147, -45487, 77098, 79648, 
123380, -52991, 113980, -35812, 161776, -26874, 125046, 89662, 
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66224, 32792, 101576, 174156, 37090, 102740, 101521, 154264, 
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94954, 198818, 127890, 272457, -45888, 96562, 15617, 22385, 102185, 
154694, 93797, 55638, 118959, 184010, 6310, 54728, 141369, 209807, 
140799, 100809, 93704, 198260, 264015, 271577, 90354, 125713, 
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1406L))

Answer 1

图中项目（样本）较少的原因是kohonen聚类的项目非常相似。考虑包装中的数据集葡萄酒。它有177个葡萄酒的13个变量，但计数图显示25个簇。它还通过颜色梯度显示每个簇中有多少葡萄酒。

library(kohonen)
data(wines)
kohmap <- xyf(scale(wines), classvec2classmat(wine.classes),
              grid = somgrid(5, 5, "hexagonal"), rlen=100)

plot(kohmap, type="counts", labels = wine.classes, col = wine.classes + 1, main = "count plot")