Questions tagged [kmodes]
5 questions
2
votes
1 answer
K-Modes Cluster Validation
I've so far found very few options for internal cluster validation using k-modes.
However, I recently found a paper which use a validation metric known as the: SW/SB ratio.
SW = standard deviation on the group.
SB = standard deviation between the…
EB3112
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2
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Why can't my k-prototypes clustering model be pickle-saved when based on a user-defined distance?
Because the dataset in which I wish to find clusters contains a mix of numerical and categorical variables, I'm using the k-prototypes algorithm to compute centroids. By default, the method defines a distance between two data points as a (weighted)…
Emilien
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1
vote
1 answer
assign cluster membership to new data using kmodes
Looking at this code from here:
import numpy as np
from kmodes.kmodes import KModes
# random categorical data
data = np.random.choice(20, (100, 10))
km = KModes(n_clusters=4, init='Huang', n_init=5, verbose=1)
clusters = km.fit_predict(data)
#…
cs0815
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Python code for automatic execution of the Elbow curve method in K-modes clustering
having the code for manual and therefore possibly wrong Elbow method selection of optimal number of clusters when K-modes clustering of binary df:
cost = []
for num_clusters in list(range(1,10)):
kmode = KModes(n_clusters=num_clusters, init =…
Mr.Slow
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Do we need standardization in K-prototypes algorithm
I want to use the K-prototype algorithm (a type of KNN algorithm used for mixed data :numerical and categorical data) for a clustering problem.
The algorithm handles the categorical values without numerical encoding, so I don't need to encode them…
anotherUser
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