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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.Any scripts or data that you put into this service are public.
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