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who can help me to solve this ,I have no idea to recognize lager amount of people?
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https://github.com/nextgenusfs/funannotate/blob/00c207ad4041270a5e0e1f6cff711f697c5d3abc/funannotate/downloads.json#L6
Do we want to try to point to v9? I can update but not sure what else would b…
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Lucas,
Thank you very much for great talk!
https://www.youtube.com/watch?v=ZD8LA3n6YvI&feature=youtu.be&t=443
All your talk are really useful.
1.
Regarding to multicolinearity detection/reduct…
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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've done quite a bit of googling recently on this as, at only 20MB it is becoming really slow, especially when using Jaccard similarity.
My proposed solution is to use something like the MinHash a…
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Critique a README
Pick an R package that's important to your work. Find the README for that package. For example, here's the README for dbscan. GitHub is a good place to look, as are CRAN and Biocond…
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The following implementations use a generic `impl Distance` parameter, but only provide a `Default` impl for the `Euclidean` distance.
- KNNClassifier
- KNNRegressor
- DBSCAN
- KMeans
In one …
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Now that RBC is showing great potential, scale, and speedups, I've been thinking of ways the RBC algorithm can scale and accelerate multiple different algorithms:
1. [ ] **K-means**: The FAISS bloc…
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For some reason the second bulletpoint-list (the one in the k-means section) is not converted to LaTex in this file: https://github.com/scikit-learn-contrib/hdbscan/blob/5b1ed1dfef216c4083567061f533a4…
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use clustering for big regions (so many datapoints)
outlier wether conditions display
exploratory search and informational search (also neues endtecken aber auch etwas finden was man sucht)
differe…