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bigKNN 0.3.0

• Added execution plans with memory-budget-based block sizing and thread hints.
• Added serializable prepared references with knn_load_prepared() and knn_validate_prepared().
• Added exact radius-graph helpers, streamed directed kNN graph jobs, checkpointed radius streaming, and resumable checkpoints.
• Added result coercion helpers plus exact recall summaries and candidate reranking utilities.

bigKNN 0.2.0

• Added prepared exact references with knn_prepare_bigmatrix(), knn_search_prepared(), and knn_search_stream_prepared() for repeated search workloads.
• Added exact radius-search APIs with in-memory and streamed outputs, including count_within_radius_bigmatrix(), radius_bigmatrix(), and radius_stream_bigmatrix().
• Expanded metric support from Euclidean distance to "sqeuclidean" and "cosine".
• Added exact graph builders for directed kNN, mutual kNN, and shared-nearest-neighbour graphs.

bigKNN 0.1.0

• Initial release with exact Euclidean k-nearest-neighbour search on bigmemory::big.matrix references.
• Added self-search and external-query search against big.matrix and dense matrix inputs.
• Added both in-memory and streamed neighbour outputs through knn_bigmatrix() and knn_stream_bigmatrix().
• Established package documentation, compiled backend registration, and the first regression tests.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.