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Docs: Update links in README.md files

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Signed-off-by: Michael Mayer <michael@photoprism.app>
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Michael Mayer 2022-08-10 18:41:42 +02:00
parent ac4886fe7c
commit ecf783e290
2 changed files with 4 additions and 4 deletions
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6
docker/README.md
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@ -18,9 +18,9 @@ can be easily made available to users via Internet. It provides a common standar
systems and devices, which saves our team a lot of time that we can then spend [more effectively](https://docs.photoprism.app/developer-guide/issues/#effectiveness-efficiency), for example,
providing support and developing one of the many features that users are waiting for.
Human-readable and versioned Dockerfiles as part of our public source code also help avoid "works for me" moments and
other unwelcome surprises by enabling teams to have the exact same environment everywhere in [development](develop/impish/Dockerfile), staging,
and [production](photoprism/impish/Dockerfile).
Human-readable and [versioned Dockerfiles as part of our public source code](https://github.com/photoprism/photoprism/tree/develop/docker)
also help avoid "works for me" moments and other unwelcome surprises by enabling teams to have the exact same environment everywhere in [development](https://github.com/photoprism/photoprism/blob/develop/docker/develop/bookworm/Dockerfile), staging,
and [production](https://github.com/photoprism/photoprism/blob/develop/docker/photoprism/bookworm/Dockerfile).
Last but not least, virtually all file format parsers have vulnerabilities that just haven't been discovered yet.
This is a known risk that can affect you even if your computer is not directly connected to the Internet.

2
pkg/clusters/README.md
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@ -98,7 +98,7 @@ finish <- struct{}{}
fmt.Printf("Clustered data set into %d\n", c.Sizes())
```
The Estimator interface defines an operation of guessing an optimal number of clusters in a dataset. As of now the KMeansEstimator is implemented using gap statistic and k-means++ as the clustering algorithm (see https://web.stanford.edu/~hastie/Papers/gap.pdf):
The Estimator interface defines an operation of guessing an optimal number of clusters in a dataset. As of now the KMeansEstimator is implemented using gap statistic and k-means++ as the clustering algorithm (see https://dl.photoprism.app/pdf/20020106-Estimating_the_Number_of_Clusters.pdf):
```go
var data [][]float64