Questions about hierarchical-clustering
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Classification models which utilise multi-level columns - hierarchical information
I am looking for some robust classification/clustering models, e.g. decision trees, that would utilise hierarchical information present in the dataset.
The dataset consists of unique rows (customer ID...
kikatuso
Votes: 0
Answers: 1
Are there any verification methods how good cluster I got?
I have a task about clusterization in python. When I did this clusterization I need to check the result with business logic.
I dont see the pattern in solved clusters. Next, I decided to do post analy...
miyamamur
Votes: 0
Answers: 1
hierarchical clustering for collection of sets
I have a collection of sets like
b1={a1,a2,a3,a4,a5}
b2={a6,a7,a8,a9}
b3={a1,a2,a3,a4,a5,a6,a7,a8,a9,a10}
b4={a6,a7,a8,a12}
b5={a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12}
c1={d1,d2,d3}
c2={d1...
Haj Nasser
Votes: 0
Answers: 1
cutting a dendogram in R USArrests dataset does not return a proper dendogram
I have been looking online for tutorial but the result is not correct
d <- dist(USArrests, method = "euclidean") # distance matrix
usarrests_hi_cluster <- hclust(d, method="compl...
giacomo venturelli
Votes: 0
Answers: 1