graphgrove
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A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search
**Context** https://github.com/nmonath/graphgrove/blob/main/examples/clustering.py provides an example on how to do the clustering, but does not actually show how to retrieve the results (e.g. dendrogram) and interpret the results (e.g. how to...
**Context** Running `!pip install graphgrove` installs `graphgrove-0.0.1`. However, this package is outdated; it does not even support the example toy code outlined by the README of this repository: ``` import...
**Context** When building graphgrove, there are numerous warnings indicating poor code quality for some of the components in the codebase. Some of these warnings are superfluous, but they do sometimes...
Firstly, this is a great library for clustering unit-normed feature spaces fast and coherently! I had a query about mini-batching: for some reason I expected each mini-batch to take roughly...
I tried to pip install graphgrove under windows. It seems installed but some how at version 0.0.1 without any real contents. Then I tried to compile from source, it has...
There are some obvious bugs in Cosine_FaissHNSW so I fixed it
This PR adds documentation using jekyll + sphinx. A preview is available here: https://mrdrozdov.github.io/graphgrove/ Notes: - The homepage is built using jekyll, and is automatically generated from the top-level README.md....