NEWS

---

fdacluster 0.3.0.9000

• Expanded arguments of fdakmeans() to allow for more control over the type of input functional data:
  • is_domain_interval allows one to state the all curves are defined on the same fixed interval;
  • transformation specifies the transformation to be applied to the data before clustering.
  • check_check_option_compatibility() handles errors when incompatible options are selected.
• Created two separate C++ classes for $L^2$ distance and normalized $L^2$ distance; the former cannot be used in combination with dilation or affine warping classes because it is not invariant to these transformations.
• Integrated distances in C++ classes are now computed via arma::trapz().
• Added talk given at Rencontres R 2023 in Avignon, France to the News section of the website.
• Now uses package distops for computing distance matrices.
• Reduced number of dependencies: removed dplyr, tidyr, forcats, (progressr, tidyr, furrr, purrr).
• Updated README file.
• Updated GHA workflows.
• Updated vignettes.
• Bug fixes.

fdacluster 0.3.0 (2023-07-04)

• Added median centroid type;
• Median and mean centroid types are now defined on the union of individual grids;
• Simplified caps class to avoid storing objects multiple times under different names;
• Added vignette on initialization strategies for k-means;
• Added article on use case about the Berkeley growth study;
• Added article on supported input formats.

fdacluster 0.2.2 (2023-05-25)

• Make sure one can use fdacluster with namespace notation.
• Make sure not to use fda or funData before checking it is available.

fdacluster 0.2.1 (2023-05-19)

• Add DBSCAN clustering;
• Fix C++ compiler issues that errored when accessing empty vectors.

fdacluster 0.2.0 (2023-05-18)

• Add hierarchical clustering;
• Enforce n_clusters in output via linear programming (LP) using the lpSolve package;
• New caps class for storing results from functional Clustering with Amplitude and Phase Separation in a consistent way;
• Add tools for comparing clustering results (mcaps objects, autoplot and plot specialized method implementations);
• Add seeding strategies for kmeans (via hierarchical clustering or k-means++ or k-means++ with exhaustive search of the first center or exhaustive search of all the centers);
• Add within-cluster domain auto-extension via mean imputation;
• Add possibility to cluster according to phase variability instead of amplitude variability.
• Renaming of functions: to perform k-means with alignment, now use fdakmeans(), to perform HAC with alignment, now use fdahclust().

fdacluster 0.1.1 (2022-05-09)

• Fixed undefined behavior sanitizer issues spotted by UBSAN.
• Added reference to published work related to the package in DESCRIPTION.

fdacluster 0.1.0 (2022-02-01)

• Initial release.
• Added a NEWS.md file to track changes to the package.