## Uses of Interface
org.apache.datasketches.quantilescommon.SketchPartitionLimits

Packages that use SketchPartitionLimits
org.apache.datasketches.kll: This package is for the implementations of the sketch algorithm developed by Zohar Karnin, Kevin Lang, and Edo Liberty that is commonly referred to as the "KLL" sketch after the authors' last names.
org.apache.datasketches.quantiles: The quantiles package contains stochastic streaming algorithms that enable single-pass analysis of the distribution of a stream of quantiles.
org.apache.datasketches.quantilescommon: This package contains common tools and methods for the quantiles, kll and req packages.

### Uses of SketchPartitionLimits in org.apache.datasketches.kll

Classes in org.apache.datasketches.kll that implement SketchPartitionLimits
`class` `KllItemsSketch<T>` This variation of the KllSketch implements generic data types.

### Uses of SketchPartitionLimits in org.apache.datasketches.quantiles

Classes in org.apache.datasketches.quantiles that implement SketchPartitionLimits
`class` `ItemsSketch<T>` This is an implementation of the Low Discrepancy Mergeable Quantiles Sketch, using generic items, described in section 3.2 of the journal version of the paper "Mergeable Summaries" by Agarwal, Cormode, Huang, Phillips, Wei, and Yi: Reference: A k of 128 produces a normalized, rank error of about 1.7%.

### Uses of SketchPartitionLimits in org.apache.datasketches.quantilescommon

Subinterfaces of SketchPartitionLimits in org.apache.datasketches.quantilescommon
`interface` `GenericSortedView<T>` The Sorted View for quantiles of generic type.
`interface` `QuantilesGenericAPI<T>` The Quantiles API for item type generic.

Classes in org.apache.datasketches.quantilescommon that implement SketchPartitionLimits
`class` `ItemsSketchSortedView<T>` The SortedView for the KllItemsSketch and the classic ItemsSketch.