Questions tagged [feature-clustering]
19 questions
0
votes
2 answers
Sklearn k-means clustering (weighted), determining optimum sample weight for each feature?
K-means clustering in sklearn, number of clusters is known in advance (it is 2).
There are multiple features. Feature values are initially without any weight assigned, i.e. they are treated equally weighted. However, task is to assign custom weights…
zlatko
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Clustering around fixed vector of values
I have a dataset of brands with different features like calories, sugar content, fiber content, etc.
for eg
Using dput():
structure(list(Row = 1:30, Brands = structure(c(1L, 112L, 223L, 242L,
253L, 264L, 275L, 286L, 297L, 2L, 13L, 24L, 35L, 46L,…
Rajan Mishra
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0
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1 answer
How to receive tile data from ClusterBuster vector tile server in the sample example?
Summary
Seems the guys did a great work with the built-in filtering, clustering and caching on the ClusterBuster vector tile server.
I'm really excited about this project that looks very promising and i'm eager to try it!
I'm working on a project on…
Florin Vîrdol
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1 answer
Clustering based on model parameters
I have been trying to clustering based on the SGD model parameters (Coefficient and Intercept). coef_ holds the weights w and intercept_ holds b.
How can those parameters be used with clustering (KMedoids) on a group of the learned model?
import…
Man.utd
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