Questions tagged [umap]
The umap tag has no usage guidance.
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Is there a set of parameters in UMAP such that embedding an input dataset results in the embedding being the same input dataset itself?
That is, after
embedding = umap.UMAP()
embedding.fit(X)
then the result should be
embedding.embedding_ == X
Then, ideally, any ...
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1
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28
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How do I interpret low dimentional embeddings of high dimentional embeddings?
I am trying to understand what I am supposed to learn about a problem when using dimensionality reduction methods. In particular, I am referring to methods like t-SNE and UMAP.
For the most part I am ...
1
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When visualizing graph nodes, should I use apply PCA to node2vec embedding?
I am trying to visualize graph nodes using node2vec embedding.
The node2vec embeddings has lengths of 50~100 dimensions.
I have two plans:
use umap to project node2vec embeddings to 2D space
use PCA ...
2
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1
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74
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How to improve the preservation of the global data structure in UMAP?
I have a dataset, where the features are comprised of points arranged in a regular grid on a simplex. Each of these points are defined as follows: A point $\mathbf{x}$ on the simplex can be ...
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Clustering with BERT. Why are my clusters overlapped? How to improve BERT embeddings?
I am trying to create BERT embeddings of text data, then use dimensionality reduction and cluster. I tried with some big datasets like amazon reviews and 20newsgroups, but whenever I created ...
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Why is UMAP used in combination with other Clustering Algorithm?
I've noticed that UMAP is often used in combination with other clustering algorithms, such as K-means, DBSCAN, HDBSCAN. However, from what I've understood, UMAP can be used for clustering tasks. So ...
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MEL VS linear spectrograms for bioacoustics machine learning
I don't have background in bioacoustics but working on a data-science project in bioacoustics.
I am working with animal vocalizations recorded at sampling rate of 250000.
Animals are bats, which are ...