n2d
A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding. (by rymc)
dpsom
Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States' (by ratschlab)
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| n2d | dpsom | |
|---|---|---|
| 1 | 1 | |
| 122 | 64 | |
| - | - | |
| 0.0 | 2.6 | |
| 6 months ago | about 3 years ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
n2d
Posts with mentions or reviews of n2d.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-12.
-
Time-Series image clustering. Advice needed!
So far I found some approaches that looks promising, for example n2d or k-means with DTW distance, and there are some more (e.g. T-DPSOM), but I want to start from these.
dpsom
Posts with mentions or reviews of dpsom.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-12.
-
Time-Series image clustering. Advice needed!
So far I found some approaches that looks promising, for example n2d or k-means with DTW distance, and there are some more (e.g. T-DPSOM), but I want to start from these.
What are some alternatives?
When comparing n2d and dpsom you can also consider the following projects:
minisom - :red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps