All Questions
Tagged with k-means data-visualization
21 questions
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 ...
- 19
2
votes
0
answers
334
views
interpretation of elbow plots [duplicate]
Hi I have this elbow plot that was created to select the K for clustering but I can't find a sound explanation of how to interpret this, all I ever see is a picture of an elbow with in plots with ...
- 21
1
vote
0
answers
327
views
Strange data point clustering in k-means
I am trying to explore weather impact on bike usage using k-means clustering. However, the plot does not look correct; visually, some data points obviously belong to another cluster that is closer ...
1
vote
1
answer
414
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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
1
vote
0
answers
38
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Kaplan-Meier plots in R [closed]
I have generated the following clusters. Now I want to compare 3 groups in terms of survival. I am wondering how to create 3 groups based on "scores" and draw KM plot.
Codes:
...
- 11
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
0
votes
2
answers
678
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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
0
votes
0
answers
445
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Interpreting or utilizing k-means clusters from multidimensional data
K-means clusters can be calculated for multidimensional data--with 5 or 8 variables for instance--by minimizing the "within clusters sum of squares" (WCSS) just as you would for 2 or 3 dimension data. ...
- 158
0
votes
1
answer
2k
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Detecting Patterns in Multiple Variables of Data Set via Kmeans Cluster
I am currently working on a data set with 14 predictors, 4 of which are categorical (city, state, year, population) or at least not used in the numerical process, while the other 10 are doubles that ...
- 121
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
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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
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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
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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
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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
5
votes
1
answer
23k
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Plotting k-means clustering with mixed numerical/categorical data
I have a dataset in CSV format that looks as follows:
...
- 205
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
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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
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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
0
votes
3
answers
4k
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R getting 2D coordinates from kmeans
I performed and plotted a kmeans analysis in R with the following commands:
...
- 413
4
votes
3
answers
7k
views
Reading Kmeans data and chart from R
I performed and plotted a kmeans analysis in R with the following commands:
...
- 413
89
votes
4
answers
198k
views
How to produce a pretty plot of the results of k-means cluster analysis?
I'm using R to do K-means clustering. I'm using 14 variables to run K-means
What is a pretty way to plot the results of K-means?
Are there any existing implementations?
Does having 14 variables ...
- 3,875