Deterministic Numeric K-means Workbench

How to use Deterministic Numeric K-means Workbench

The first row seeds the first center; each next seed is the row farthest from its nearest existing center. Lloyd assignments choose the first nearest center on a tie, then update nonempty centers to means. Fixed assignments and objective history make the local solution inspectable.

1. Enter numeric observation matrix json, clusters k.
2. Choose the stated convention and check the units and supported model.
3. Calculate, inspect the result, then copy or download it.

Good to know

• 2–500 rows, 1–8 columns and k from 1 through min(10, row count). Numeric inputs have magnitude at most 1e9 and nonzero magnitude at least 1e-12. Standardization needs nonconstant columns. Fewer than k distinct prepared rows is refused; failure to converge within 100 iterations is refused. Empty clusters retain their prior center and report zero members. This is one deterministic local solution, not a global optimum, automatic k selection or a statement that groups are meaningful.
• Local calculation only; no input persistence or external lookup. Text/JSON is limited to 30000 characters and output to 1000000 characters. Numeric model inputs and precision/work limits are stated on this page. Approximate JSON numbers retain full stored values; exact arithmetic outputs retain decimal or fraction strings. Unsupported states fail explicitly.