All Questions
11 questions
1
vote
1
answer
300
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 ...
- 19
1
vote
1
answer
411
views
What is the best k in kmeans clustering [duplicate]
I did clustering on a dataset of real-world patients and since the best way to choose the amount of clusters in KMeans clustering is Elbow method and the Silhouette method, I conducted those two and ...
- 111
0
votes
2
answers
678
views
How to compare the distributions of variables within clusters?
I used K-means to cluster 15k data points composed of 5 quantitative features scaled between 0 and 1.
I would like to compare the distributions of the features within each cluster, and also compare ...
- 293
2
votes
1
answer
350
views
Normalization/Standarization for Clustering visualization
I'm performing visualization of a dataset clustered with k-means. I compute a weight for each cluster and I draw a circle as big as its weight. But it seems like after the clustering some values are ...
- 213
2
votes
1
answer
2k
views
Interpret the visualization of k-mean clusters
Following my posted data here, I conducted a k-mean clustering analysis.
I refereed to this post: How to produce a pretty plot of the results of k-means cluster analysis? for the clusters ...
- 605
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/...
- 271
4
votes
7
answers
11k
views
Comparing k-means results to original data: how to interpret the resulting plots?
I'm running k-means on my dataset that can be found here that has 7 classes.
I plotted the ggpairs for the dataset and then took k-means and plotted ggpairs again ...
- 481
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:
...
- 389
2
votes
1
answer
2k
views
Interpretation of NbClust result
The plots show the output of NbClust(). By looking at the plot, is that correct to say that k=5 is the optimal number of ...
- 21
5
votes
3
answers
27k
views
K-Means Clustering - Calculating Euclidean distances in a multiple variable dataset
I have just completed a simple exercise with 2 variables (X and Y) to understand how K-Means clustering works. The results look like this,
My questions is, if I have another column Z, how should the ...
- 59
26
votes
3
answers
39k
views
Visually plotting multi dimensional cluster data
I have a data set with 16 variables, and after clustering by kmeans, I wish to plot the two groups.
What plots do you suggest to visually represent the two clusters?
- 873