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Dear @jokergoo first of all would like to express my gratitude for your amazing tool, it's simple to use and I can produce beautiful plots in no too many lines of code.
Recently I have been working with a dataset which I wanted to cluster. My surprise came when using the kmeans funcition in R and when clustering my data using the kmeans function in R with all default values, then I tried to represent that same clusters using k_row with the same number of clusters but they where not the exactly same as for the kmeans function. Some samples (the most different ones) where clustered together but some others (more similar ones) where shuffled between clusters.
I could remedy this issue by forcing those clusters using the cluster_rows function.
Nevertheless I am still curious about this difference that occours when comparing this different clustering functions.
Thank you so much for your work, it is truly amazing!
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Dear @jokergoo first of all would like to express my gratitude for your amazing tool, it's simple to use and I can produce beautiful plots in no too many lines of code.
Recently I have been working with a dataset which I wanted to cluster. My surprise came when using the kmeans funcition in R and when clustering my data using the kmeans function in R with all default values, then I tried to represent that same clusters using k_row with the same number of clusters but they where not the exactly same as for the kmeans function. Some samples (the most different ones) where clustered together but some others (more similar ones) where shuffled between clusters.
I could remedy this issue by forcing those clusters using the cluster_rows function.
Nevertheless I am still curious about this difference that occours when comparing this different clustering functions.
Thank you so much for your work, it is truly amazing!
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