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**Reported by rcurtin on 2 Jun 41458879 09:55 UTC**
Currently the definition for DHrectBound is this:
```
template
class DHrectBound {
...
};
```
But this restricts us to L-norms with an integer p…
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When testing it inside our system, it seems it fails on my system for strange reason. Maybe it is something with my local installation, but, when I try to load your primitive, I get the following erro…
mitar updated
6 years ago
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The following is the output of the PVS-Studio static code analyzer, I think we can probably ignore most of the warnings like ``Not all members of a class are initialized inside the constructor.``, but…
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## Expected behavior
KNN class is serializable, so I'd expect to be able to serialize it.
## Actual behavior
Serializer throws an exception while serializing a KNN instance, here is the relev…
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ELKI has much faster clustering implementations than Weka.
In particular, it includes some fast k-means variants.
It would be interesting to see how it competes in your benchmarks.
It's java, but it …
kno10 updated
6 years ago
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In the extreme case, when there is only one element indexed, the covertree fails
This line in [CoverTree.java#L519](https://github.com/haifengl/smile/blob/master/core/src/main/java/smile/neighbor/Cov…
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Running a Knn model, it throws an ArrayIndexOutOfBoundsException on approximately every other run, using the same data (although in this case, I'm randomly splitting the dataset between test and train…
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**Reported by rcurtin on 25 Oct 42625579 22:12 UTC**
Using current sources (r13421), CoverTree::DualTreeTraverser performs particularly slow searches. For example, running (and then profiling) allknn…
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Hi,
First let me thank you for the great library, it is pleasure to use it.
In my work project I use DBScan class to cluster a bag of strings.
I have noticed that by default identical objects are ig…
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Hi,
I try to use this demo to have a test, and I run like this:
```
dist/cover_tree data/train_100d_1000k_1000.dat data/test_100d_1000k_10.dat
data/train_100d_1000k_1000.dat
data/test_100d_1000k_10.d…