FileOrderBulkSplit (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

java.lang.Object
- elki.index.tree.spatial.rstarvariants.strategies.bulk.AbstractBulkSplit
- - elki.index.tree.spatial.rstarvariants.strategies.bulk.FileOrderBulkSplit

All Implemented Interfaces:

BulkSplit
```
public class FileOrderBulkSplit
extends AbstractBulkSplit
```
Trivial bulk loading - assumes that the file has been appropriately sorted before.

Since:

0.5.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static class FileOrderBulkSplit.Par
Parameterization class.

Field Summary

Fields
Modifier and Type Field Description

static FileOrderBulkSplit STATIC
Static instance

Constructor Summary

Constructors
Modifier Constructor Description

protected FileOrderBulkSplit()
Constructor.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`<T extends SpatialComparable> java.util.List<java.util.List<T>>`	`partition(java.util.List<T> spatialObjects, int minEntries, int maxEntries)`	Partitions the specified feature vectors

Methods inherited from class elki.index.tree.spatial.rstarvariants.strategies.bulk.AbstractBulkSplit
chooseBulkSplitPoint, trivialPartition

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - STATIC
```
public static final FileOrderBulkSplit STATIC
```
    Static instance
- Constructor Detail
  - FileOrderBulkSplit
```
protected FileOrderBulkSplit()
```
    Constructor.
- Method Detail
  - partition
```
public <T extends SpatialComparable> java.util.List<java.util.List<T>> partition(java.util.List<T> spatialObjects,
                                                                                 int minEntries,
                                                                                 int maxEntries)
```
    Description copied from interface: BulkSplit
    
    Partitions the specified feature vectors
    
    Type Parameters:
    
    T - actual type we split
    
    Parameters:
    
    spatialObjects - the spatial objects to be partitioned
    
    minEntries - the minimum number of entries in a partition
    
    maxEntries - the maximum number of entries in a partition
    
    Returns:
    
    the partition of the specified spatial objects