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## Uses of Interface
edu.uci.ics.jung.algorithms.shortestpath.Distance

Packages that use Distance
edu.uci.ics.jung.algorithms.shortestpath | Provides a set of algorithms for computing the shortest path between two nodes or between each pair of nodes in a graph.
edu.uci.ics.jung.statistics | Provides a set of statistical tools for analyzing graphs.
edu.uci.ics.jung.visualization.contrib | These are additional layouts contributed by various users.

Uses of Distance in edu.uci.ics.jung.algorithms.shortestpath

Classes in edu.uci.ics.jung.algorithms.shortestpath that implement Distance
`class` | `DijkstraDistance` Calculates distances in a specified graph, using Dijkstra's single-source-shortest-path algorithm.
`class` | `DijkstraShortestPath` Calculates distances and shortest paths using Dijkstra's single-source-shortest-path algorithm.
`class` | `UnweightedShortestPath` Computes the shortest path distances for graphs whose edges are not weighted (using BFS).

Uses of Distance in edu.uci.ics.jung.statistics

Methods in edu.uci.ics.jung.statistics with parameters of type Distance
`static Map` | `GraphStatistics.averageDistances(ArchetypeGraph graph, Distance d)` For each vertex `v` in `graph`, calculates the average shortest path length from `v` to all other vertices in `graph` using the metric specified by `d`, and returns the results in a `Map` from vertices to `Double` values.
`static double` | `GraphStatistics.diameter(ArchetypeGraph g, Distance d, boolean use_max)` Returns the diameter of `g` using the metric specified by `d`.
`static double` | `GraphStatistics.diameter(ArchetypeGraph g, Distance d)` Returns the diameter of `g` using the metric specified by `d`.

Uses of Distance in edu.uci.ics.jung.visualization.contrib

Fields in edu.uci.ics.jung.visualization.contrib declared as Distance
`protected Distance` | `KKLayout.distance` Retrieves graph distances between vertices of the visible graph

Constructors in edu.uci.ics.jung.visualization.contrib with parameters of type Distance
`KKLayout(Graph g, Distance distance)`

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