Skip to main content

KMeansND - chart function

KMeansND() evaluates the rows of the chart by applying k-means clustering, and for each chart row displays the cluster id of the cluster this data point has been assigned to. The columns that are used by the clustering algorithm are determined by the parameters coordinate_1, and coordinate_2, etc., up to n columns. These are all aggregations. The number of clusters that are created is determined by the num_clusters parameter.

KMeansND returns one value per data point. The returned value is a dual and is the integer value corresponding to the cluster each data point has been assigned to.


KMeansND(num_clusters, num_iter, coordinate_1, coordinate_2 [,coordinate_3 [, ...]])

Return data type: dual


Argument Description
num_clusters Integer that specifies the number of clusters.
num_iter The number of iterations of clustering with reinitialized cluster centers.
coordinate_1 The aggregation that calculates the first coordinate, usually the x-axis (of a scatter chart that can be made from the chart). The additional parameters calculate the second, third, and fourth coordinates, etc.

Did this page help you?

If you find any issues with this page or its content – a typo, a missing step, or a technical error – let us know how we can improve!