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1 vote
1 answer
301 views

Applying k-means over PCA

I have a dataset containing 20 columns and 200 rows. This is an unlabeled dataset and I applied PCA to this dataset for dimensionality reduction. After successfully using PCA, I received a dataset ...
Krishna's user avatar
  • 19
1 vote
2 answers
671 views

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 ...
Eran Moshe's user avatar
11 votes
2 answers
7k views

Difference between PCA and spectral clustering for a small sample set of Boolean features

I have a dataset of 50 samples. Each sample is composed of 11 (possibly correlated) Boolean features. I would like to some how visualize these samples on a 2D plot and examine if there are clusters/...
user2602740's user avatar
9 votes
1 answer
13k views

Understanding cluster plot and component variability

I have run k-means clustering. I have also plotted the results using the following code in R: ...
shakthydoss's user avatar