kmodes
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nicodv
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
I'm getting very different results when using fit_predict() on a KPrototypes wiht the same dataset as a pandas dataframe and numpy array. The resulting clusters are very different, I've kept...
Anaconda release native Arm version for macos, but now kmodes doesn't working on Arm64
Hi! I've been trying to apply KPrototype in my PhD. After I get the optimal K (cluster initiation), I type to convert the results into a dataframe and plot the...
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Need to add a parameter or input vector specifying the weight of each categorical variable rather than treating them as same in dissimilarity calculation as its doing now.
Thank you for this awesome work, Is there any future plans to provide cuda ( GPUs ) support?
hi, i appreciate your work in k-prototypes. i have a datasets containing numerical and categorical variables. and i wan't to used with others mehtods inside a SKlearn pipline. the fitting...
Do you suggest any easy way to plot input data and fitted clusters? Thank you
Hi I've been using kmodes (https://www.rdocumentation.org/packages/klaR/versions/0.6-12/topics/kmodes) from the KlaR, an R package to cluster my data set. I wanted to try using kmodes in python to see if I get...
Hi, first of all, thanks for your precious work. I have this suggestion: for the categorical variable is is possible to add a precomputed dissimilarity matrix (like from gower function)?...
