2D K-means data grouping
Deterministic k-means clustering is performed on the finite two-dimensional coordinates, and the cluster number and square error are displayed.
2D K-means data grouping User manual
- Fill in the parameters or select the file according to the form, and check the unit and format first.
- Four points 0, 0, 0, 1, 10, 10, 10, 11 are divided into two clusters.
- Click the processing button to view the results, you can copy or download and save.
Calculation method and processing rules
Initialize the center in the furthest order, repeatedly allocate points and update the center, up to 200 rounds.
scope of use
Up to 300 two-dimensional points; no standardization, no guarantee of global optimality, and do not interpret the results as business classification conclusions.
Will the input content be saved on the server?
This tool handles input in the browser, and does not upload files or form content. Typing practice scores are only saved in the native browser.
Why may the result be different from other tools?
Up to 300 two-dimensional points; no standardization, no guarantee of global optimality, and do not interpret the results as business classification conclusions. Please compare the input unit, rounding method, applicable rules and data version first.