Updated: May 16, 2016
Defines how a continuous range of values is converted into a discrete, or fixed, number of values.
Assembly: Microsoft.AnalysisServices (in Microsoft.AnalysisServices.dll)
Chooses best grouping technique among EqualArea, Clusters, and Threshold methods.
Finds buckets by performing single-dimensional clustering on the input values by using the K-Means algorithm.
Specifies that when the distribution of continuous values is plotted as a curve, the areas under the curve covered by each bucket range are equal.
No grouping is requested.
Specifies that when the distribution of continuous values is plotted as a curve, buckets are be created based on the inflection points (where gradient changes direction) in their distribution curve
Specifies that the user can define a custom grouping of the members
New: 17 July 2006