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Algorithms that build k-nearest neighbors graph (k-nn graph): Brute-force, NN-Descent,...
/*
* The MIT License
*
* Copyright 2016 Thibault Debatty.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
package info.debatty.java.graphs.build;
import info.debatty.java.graphs.Graph;
import info.debatty.java.graphs.Neighbor;
import info.debatty.java.graphs.NeighborList;
import info.debatty.java.graphs.SimilarityInterface;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import java.util.logging.Level;
import java.util.logging.Logger;
/**
*
* @author Thibault Debatty
* @param
*/
public class ThreadedBrute extends GraphBuilder {
public static final int NODES_PER_BLOCK = 1000;
@Override
protected final Graph _computeGraph(final List nodes) {
// Start all blocks
int n = nodes.size();
int cores = Runtime.getRuntime().availableProcessors();
ExecutorService executor = Executors.newFixedThreadPool(cores);
ArrayList>> results = new ArrayList>>();
for (int i = 0; i < n; i += NODES_PER_BLOCK) {
for (int j = 0; j <= i; j += NODES_PER_BLOCK) {
results.add(executor.submit(
new BruteBlock(nodes, k, similarity, i, j)));
}
}
// Initialize all NeighborLists
Graph graph = new Graph();
for (T node : nodes) {
graph.put(node, new NeighborList(k));
}
// Aggregate all subgraphs
for (Future> future : results) {
Graph subgraph;
try {
subgraph = future.get();
for (Map.Entry entry : subgraph.entrySet()) {
graph.getNeighbors(entry.getKey()).addAll(entry.getValue());
}
} catch (InterruptedException ex) {
Logger.getLogger(ThreadedBrute.class.getName()).log(Level.SEVERE, null, ex);
} catch (ExecutionException ex) {
Logger.getLogger(ThreadedBrute.class.getName()).log(Level.SEVERE, null, ex);
}
}
return graph;
}
}
/**
*
* @author Thibault Debatty
* @param
*/
class BruteBlock implements Callable> {
private final int i_start;
private final List nodes;
private final SimilarityInterface similarity;
private final int k;
private final int j_start;
BruteBlock(
final List nodes,
final int k,
final SimilarityInterface similarity,
final int i_start,
final int j_start) {
this.nodes = nodes;
this.k = k;
this.similarity = similarity;
this.i_start = i_start;
this.j_start = j_start;
}
public Graph call() throws Exception {
int n = nodes.size();
int i_end = Math.min(i_start + ThreadedBrute.NODES_PER_BLOCK, n);
int j_end = Math.min(j_start + ThreadedBrute.NODES_PER_BLOCK, n);
// Initialize neighborlists
Graph graph = new Graph();
for (int i = i_start; i < i_end; i++) {
T node = nodes.get(i);
graph.put(node, new NeighborList(k));
}
for (int j = j_start; j < j_end; j++) {
T node = nodes.get(j);
graph.put(node, new NeighborList(k));
}
for (int i = i_start; i < i_end; i++) {
T n1 = nodes.get(i);
for (int j = j_start; j < j_end; j++) {
if (i == j) {
break;
}
T n2 = nodes.get(j);
double sim = similarity.similarity(n1, n2);
graph.getNeighbors(n1).add(new Neighbor(n2, sim));
graph.getNeighbors(n2).add(new Neighbor(n1, sim));
}
}
return graph;
}
}