All Questions
8 questions
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64
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How to interpret result of kMeans scores if I have encoded the data with OneHotEncoder?
I am working on the AdventureWorks database and I have extracted some demographic data from the person scheme as follow. My aim ...
- 1
0
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0
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36
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Is variable contribution to the top principal components a valid method to asses variable importance in a k-means clustering? [duplicate]
If the answer is no, could someone give a simple counterexample?
Thank you!
- 95
1
vote
2
answers
671
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How to plot High Dimensional supervised K-means on a 2D plot chart
I'm Having a ML problem where my data set contains 80 features labelled into 3 groups (0, 1, -1).
I want to plot the data on a 2D surface to see how "close" (similar) data with ...
- 123
5
votes
1
answer
11k
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How to use Gower's Distance with clustering algorithms in Python
I am trying to cluster by dataset with mixed features using k-means. As a distance metric, I am using Gower's Dissimilarity. I want to ask 2 things:
-Is k-means an appropriate algorithm that can ...
- 151
0
votes
1
answer
428
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Formatting input data to Scikit learn for Kmean and PCA
I am very confused about the data that feeds to Kmean and PCA algorithm using Scikit Learn command in Python. I searched a lot in the internet but no where I found the clear answer.
I have $X$, a $m \...
- 281
0
votes
3
answers
2k
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Prediction after PCA and K-Means
I have a data set with a large amount of features.
I'm applying PCA on it in order to run it through K-means, to discover clusters in my data set.
I'd like to know what is the best practice to make ...
- 1
2
votes
2
answers
900
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Cluster centroids vs PCA as a preprocessing stage
What are the pros and cons of using K-means centroids (using cluster centroids as samples) vs Principal Component Analysis (PCA) as a preprocessing stage in machine learning? In what situation is ...
- 1,179
2
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0
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420
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A problem with implementing PCA-guided k-means
I am new to machine learning. I am reading the papers K-means Clustering via Principal Component Analysis and PCA-guided search for K-means. But there are too many mathematical proofs in these papers. ...
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