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Hi, thank you for making and sharing this repo! This is exactly what I was looking for in my research. I was wondering if might be possible to do constrained Kmeans across batches using this library? …
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I am using this library on a spike sorting project and would like to cluster neurons regarding their behavior after a given stimulus. The problem is, that some neurons are clustered into very small gr…
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QGIS comes with several spatial clustering algorithms (K-Means, DBSCAN). However, there is no way to constrain the clustering. Constraining the cluster building process for example based on the number…
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I am trying to make a summary plot using KernelExplainer with TFIDFVectorizer as feature extractor for text classifiation. I am trying to obtain the summary plot as follows:
`x_train, x_test, y_trai…
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We want to cluster motifs. My current idea, based on preliminary experiments, and interpretability is that we want to cluster motifs using **separate** shape/size and color models. The idea is this:…
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You might consider adding some of Tukey's data depth methods. R has a few packages that you could wrap including [`ddalpha`](https://cran.r-project.org/package=ddalpha) (see [this paper](https://arxiv…
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We have not been proficient at documenting the estimated runtime or space complexity of our estimators and algorithms. Even were we to document asymptotic complexity functions, it would not give a rea…
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**Describe the bug**
Audio-Webui does not install the requirements properly, precisely on audiolm, saying it failed to install.
**To Reproduce**
Steps to reproduce the behavior:
1. Go to 'audio-…
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The color histograms and means that we have are not ideal. They lose the information about the colors of individual pixels. This means that I cannot say that an individual pixel is "red" or "blue" an…
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Hey Nazir,
Yet another question.
In Fig. 4 of your paper you cluster the logits using a K-means clustering (with k=4 if I follow correctly).
In the code I couldn't find any use of KMeans clustering…