NonHierarchicalDistanceBasedAlgorithm 3.13.0 API

All Implemented Interfaces:

com.google.maps.android.clustering.algo.Algorithm
```
public class NonHierarchicalDistanceBasedAlgorithm<T extends ClusterItem>
extends AbstractAlgorithm<T>
                    
```
A simple clustering algorithm with O(nlog n) performance. Resulting clusters are not hierarchical.
High level algorithm:1. Iterate over items in the order they were added (candidate clusters).2. Create a cluster with the center of the item. 3. Add all items that are within a certain distance to the cluster. 4. Move any items out of an existing cluster if they are closer to another cluster. 5. Remove those items from the list of candidate clusters.
Clusters have the center of the first element (not the centroid of the items within it).

Method Summary

Modifier and Type	Method	Description
`boolean`	`addItem(T item)`	Adds an item to the algorithm
`boolean`	`addItems(Collection<T> items)`	Adds a collection of items to the algorithm
`void`	`clearItems()`
`boolean`	`removeItem(T item)`	Removes an item from the algorithm
`boolean`	`removeItems(Collection<T> items)`	Removes a collection of items from the algorithm
`boolean`	`updateItem(T item)`	Updates the provided item in the algorithm
`Set<out Cluster<T>>`	`getClusters(float zoom)`
`Collection<T>`	`getItems()`
`void`	`setMaxDistanceBetweenClusteredItems(int maxDistance)`
`int`	`getMaxDistanceBetweenClusteredItems()`

Methods inherited from class com.google.maps.android.clustering.algo.AbstractAlgorithm
lock, unlock
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Method Detail
  - addItem
```
 boolean addItem(T item)
```
    Adds an item to the algorithm
    
    Parameters:
    
    item - the item to be added
  - addItems
```
 boolean addItems(Collection<T> items)
```
    Adds a collection of items to the algorithm
    
    Parameters:
    
    items - the items to be added
  - clearItems
```
 void clearItems()
```
  - removeItem
```
 boolean removeItem(T item)
```
    Removes an item from the algorithm
    
    Parameters:
    
    item - the item to be removed
  - removeItems
```
 boolean removeItems(Collection<T> items)
```
    Removes a collection of items from the algorithm
    
    Parameters:
    
    items - the items to be removed
  - updateItem
```
 boolean updateItem(T item)
```
    Updates the provided item in the algorithm
    
    Parameters:
    
    item - the item to be updated
  - getClusters
```
 Set<out Cluster<T>> getClusters(float zoom)
```
  - getItems
```
 Collection<T> getItems()
```
  - setMaxDistanceBetweenClusteredItems
```
 void setMaxDistanceBetweenClusteredItems(int maxDistance)
```
  - getMaxDistanceBetweenClusteredItems
```
 int getMaxDistanceBetweenClusteredItems()
```