This is a repository containing code for **Dynamic Space-Partitioning Indexes for High-Dimensional Data** bachelor theses.
This is a repository containing code for **Dynamic Space-Partitioning Indexes for High-Dimensional Data** bachelor thesis.
The goal of this thesis is to compile a list of existing dynamic space-partitioning indexes for high-dimensional data, locate their public implementations, and benchmark them using real-world datasets in dynamic indexing scenarios.
## How to install the benchmarking framework
The Python framework's project is created using `uv`. The projects was last build
with version **TODO version**. To check version of the `uv` utility, use **TODO command**.
To install the `uv` tool, follow official installation instructions at **TODO site**.
with version **0.9.9**. To check version of the `uv` utility, use **uv --version**.
To install the `uv` tool, follow official installation instructions at **[Astral Docs](https://docs.astral.sh/uv/guides/install-python/)**.
After installation of `uv`, to install the `exp` command -- interface of the index-comparison
