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mstknnclust 1.0.0

• First major release.
• kNN construction uses a partial-sort approach that stores only floor(log(n)) neighbours per node, yielding O(n^2 log n) time and O(n * log(n)) working memory.
• MST is computed via igraph::mst() on a sparse edge list constructed from integer index vectors.
• All deprecated igraph function calls replaced with modern equivalents (components(), intersection(), is_connected(), etc.).
• Package structure reorganised following R Packages (2e) conventions: one file per exported function, testthat test suite, pkgdown site.
• Computational performance benchmarks added (see inst/extdata/benchmark_performance.R).
• Added pkgdown website at https://jorgeklz.github.io/package-mstknnclust/.

mstknnclust 0.3.2

• Previous CRAN release.

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.