Could you help me find the ideal number of clusters using the `clusGap
`function? There is a similar example in this link:
https://www.rdocumentation.org/packages/factoextra/versions/1.0.7/topics/fviz_nbclust
But I would like to do it for my case. My code is below:
library(cluster)
df <- structure(
list(Propertie = c(1,2,3,4,5,6,7,8), Latitude = c(-24.779225,
-24.789635, -24.763461, -24.794394,
-24.747102,-24.781307,-24.761081,-24.761084),
Longitude = c(-49.934816, -49.922324, -49.911616, -49.906262,
-49.890796,-49.8875254,-49.8875254,-49.922244),
waste = c(526, 350, 526, 469, 285, 433, 456,825)),class = "data.frame",
row.names = c(NA, -8L))
df<-scale(df)
hcluster = clusGap(df, FUN = hcut, K.max = 100, B = 50)
Clustering k = 1,2,..., K.max (= 100): .. Error in sil.obj[, 1:3] :
incorrect number of dimensions
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Remetente
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20/01/21
11:45:50
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