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gmeans 0.2.0

• Removed the mlr3 integration vignette since the learner now ships in mlr3cluster as lrn("clust.gmeans").
• gmeans() now errors when k_init exceeds k_max.
• gmeans() now requires finite numeric input (logical is coerced to 0/1) and errors clearly when there are fewer distinct points than centers.
• gmeans() now errors clearly on input with zero rows or zero columns.
• predict.gmeans() now errors when the Minkowski power p is not positive.
• predict.gmeans() and compute_wss() now accept data frames with unused non-numeric columns and error clearly when newdata is not a matrix or data frame.
• predict.gmeans() and compute_wss() now error on a column mismatch between newdata and unnamed centers instead of returning wrong distances.

gmeans 0.1.0

• Initial CRAN submission.

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.