User Erich Schubert

188 votes

Clustering on the output of t-SNE

answered Feb 28, 2017 at 22:26

8 votes

How random are the results of the kmeans algorithm?

answered May 6, 2013 at 7:36

7 votes

Accepted

Why is the k-means algorithm minimizing the within cluster variance?

answered May 14, 2013 at 15:23

6 votes

How to identify spikes in a noisy time series?

answered Jul 2, 2013 at 8:53

6 votes

Clustering without a distance matrix

answered Jun 10, 2014 at 11:10

6 votes

Can sub-optimality of various hierarchical clustering methods be assessed or ranked?

answered Feb 1, 2019 at 13:55

5 votes

Visualizing differences between alternative clusterings?

answered Aug 25, 2016 at 8:56

5 votes

Clustering with shape prior

answered May 22, 2013 at 10:48

3 votes

Clustering spatio-temporal data?

answered Jun 7, 2013 at 8:54

3 votes

Cluster analysis considering uncertainty

answered Apr 21, 2016 at 11:25

3 votes

Why is DBSCAN deterministic?

answered Oct 9, 2017 at 8:41

3 votes

Accepted

Reference for agglomerative clustering poor performance

answered Jan 8, 2018 at 0:14

3 votes

Elbow method Vs Gap statistics, which one? challenging for data scientist

answered Apr 7 at 14:47

2 votes

Definition of boundary points in DBSCAN

answered Aug 4, 2020 at 20:43

2 votes

Is there a clustering algorithm that maximizes average silhouette? If not, why not?

answered Oct 4, 2018 at 11:29

2 votes

Unsupervised outlier detection in 2D space

answered Nov 3, 2016 at 9:32

2 votes

Accepted

Deriving insights from results of k-means algorithm

answered Jan 25, 2017 at 14:17

2 votes

Accepted

How can I simulate feature tolerances in DBSCAN to see how the clusters change?

answered Jan 20, 2016 at 18:21

2 votes

How to explain how I divided a bimodal distribution based on kernel density estimation

answered May 3, 2013 at 11:41

1 vote

How do I estimate the parameters of a log-normal distribution from the sample mean and sample variance

answered Feb 7, 2013 at 14:59

1 vote

Accepted

Evaluating a clustering against multilabels

answered Jan 14, 2016 at 9:34

1 vote

Exploring distribution of pairwise distances before clustering

answered Jan 20, 2016 at 18:39

1 vote

Any distance measures that are more useful for binary data clustering?

answered Jul 12, 2016 at 11:23

1 vote

Clustering Road Networks at various Radii

answered May 23, 2013 at 12:39

1 vote

Accepted

Searching for a DBSCAN toy example

answered Mar 11, 2020 at 13:09

1 vote

Confused between K-Means and Hierarchical Clustering for 9 different categories

answered Apr 7 at 14:33

0 votes

Accepted

Is it possible to combine several clustering results in a meaningful way?

answered Nov 4, 2014 at 9:04

0 votes

Accepted

Hierarchical clustering methods using a similarity metric for which d(x, x) != 0, and possibly assymmetric

answered Mar 30, 2015 at 13:49

Stack Exchange Network

28 Answers

Clustering on the output of t-SNE

How random are the results of the kmeans algorithm?

Why is the k-means algorithm minimizing the within cluster variance?

How to identify spikes in a noisy time series?

Clustering without a distance matrix

Can sub-optimality of various hierarchical clustering methods be assessed or ranked?

Visualizing differences between alternative clusterings?

Clustering with shape prior

Clustering spatio-temporal data?

Cluster analysis considering uncertainty

Why is DBSCAN deterministic?

Reference for agglomerative clustering poor performance

Elbow method Vs Gap statistics, which one? challenging for data scientist

Definition of boundary points in DBSCAN

Is there a clustering algorithm that maximizes average silhouette? If not, why not?

Unsupervised outlier detection in 2D space

Deriving insights from results of k-means algorithm

How can I simulate feature tolerances in DBSCAN to see how the clusters change?

How to explain how I divided a bimodal distribution based on kernel density estimation

How do I estimate the parameters of a log-normal distribution from the sample mean and sample variance

Evaluating a clustering against multilabels

Exploring distribution of pairwise distances before clustering

Any distance measures that are more useful for binary data clustering?

Clustering Road Networks at various Radii

Searching for a DBSCAN toy example

Confused between K-Means and Hierarchical Clustering for 9 different categories

Is it possible to combine several clustering results in a meaningful way?

Hierarchical clustering methods using a similarity metric for which d(x, x) != 0, and possibly assymmetric