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gagolews committed Aug 29, 2022
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7 changes: 4 additions & 3 deletions DESCRIPTION
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Expand Up @@ -2,7 +2,7 @@ Package: genieclust
Type: Package
Title: Fast and Robust Hierarchical Clustering with Noise Points Detection
Version: 1.0.0.9001
Date: 2022-08-27
Date: 2022-08-29
Authors@R: c(
person("Marek", "Gagolewski",
role = c("aut", "cre", "cph"),
Expand All @@ -26,8 +26,9 @@ Description: A retake on the Genie algorithm
fragile 'eps' parameter).
The package also features an implementation of economic inequity indices
(the Gini, Bonferroni index), external cluster validity measures
(partition similarity scores; e.g., the adjusted Rand, Fowlkes-Mallows,
adjusted mutual information, pair sets indices),
(e.g., the adjusted asymmetric accuracy and partition similarity scores
such as the adjusted Rand, Fowlkes-Mallows, adjusted mutual information,
and pair sets indices),
and internal cluster validity indices (e.g., the Calinski-Harabasz,
Davies-Bouldin, Ball-Hall, Silhouette, and generalised Dunn indices).
See also the 'Python' version of 'genieclust' available on 'PyPI', which
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23 changes: 12 additions & 11 deletions README.md
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Expand Up @@ -89,23 +89,25 @@ functions `gclust()` and `genieclust()` (in R).

Other features:

- inequality measures (the normalised Gini, Bonferroni,
and De Vergottini index);
- inequality measures: the normalised Gini, Bonferroni,
and De Vergottini indices;

- external cluster validity measures, including functions to compare partitions
(adjusted asymmetric accuracy
- external cluster validity measures:
adjusted asymmetric accuracy
and partition similarity scores such as
normalised accuracy,
pair sets index (PSI),
adjusted&unadjusted Rand, adjusted&unadjusted Fowlkes-Mallows (FM),
adjusted&normalised&unadjusted mutual information (MI) scores,
adjusted&normalised&unadjusted mutual information (MI) indices;

- internal cluster validity measures (the Caliński-Harabasz,
Silhouette, Ball-Hall, Davies-Bouldin, generalised Dunn indices, etc.);
- internal cluster validity measures:
the Caliński-Harabasz,
Silhouette, Ball-Hall, Davies-Bouldin, generalised Dunn indices, etc.;

- *(Python only)* Union-find (disjoint sets) data structures (with
extensions);

- *(Python only)* Useful R-like plotting functions.
- *(Python only)* Some R-like plotting functions.



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### Other


Note that the core functionality is implemented in form of a header-only
C++ library, so it might be relatively easily adapted for use in
The core functionality is implemented in the form of a header-only
C++ library. It can thus be easily adapted for use in
other environments.

Any contributions are welcome (e.g., Julia, Matlab, ...).
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