use of com.apporiented.algorithm.clustering.LinkageStrategy in project ffx by mjschnie.
the class ClusterStructures method clusterSequential.
/**
* Performs clustering
*
* @return Final clusters.
*/
private List<Cluster> clusterSequential() {
String[] names = new String[nFiles];
double[][] rmsdDistances = new double[nFiles][nFiles];
PDBFileReader fileReader = new PDBFileReader();
LinkageStrategy ls;
switch(algorithm) {
case CLINK:
ls = new CompleteLinkageStrategy();
break;
case SLINK:
ls = new SingleLinkageStrategy();
break;
case AV_LINK:
default:
ls = new AverageLinkageStrategy();
break;
}
for (int i = 0; i < nFiles; i++) {
// Ensure the diagonal is filled.
rmsdDistances[i][i] = 0.0;
names[i] = String.format("%d", i);
if (i >= cacheStart) {
try {
structureCache[i - cacheStart] = fileReader.getStructure(files[i]);
} catch (IOException ex) {
logger.severe(String.format(" Error in reading file %s: %s", files[i].getName(), ex.toString()));
}
}
}
StructurePairAligner aligner = new StructurePairAligner();
for (int i = 0; i < nFiles; i++) {
Structure structI = null;
try {
structI = accessStructure(i, fileReader);
} catch (IOException ex) {
logger.severe(String.format(" Error in reading file %s: %s", files[i].getName(), ex.toString()));
}
for (int j = i; j < nFiles; j++) {
Structure structJ = null;
try {
structJ = accessStructure(j, fileReader);
} catch (IOException ex) {
logger.severe(String.format(" Error in reading file %s: %s", files[j].getName(), ex.toString()));
}
try {
aligner.align(structI, structJ);
} catch (StructureException ex) {
logger.severe(String.format(" Exception aligning structures " + "%d and %d: %s", i, j, ex.toString()));
}
AlternativeAlignment[] alignments = aligner.getAlignments();
double minRMSD = alignments[0].getRmsd();
for (int k = 1; k < alignments.length; k++) {
double rmsdK = alignments[k].getRmsd();
minRMSD = rmsdK < minRMSD ? rmsdK : minRMSD;
}
rmsdDistances[i][j] = minRMSD;
rmsdDistances[j][i] = minRMSD;
}
}
ClusteringAlgorithm alg = new DefaultClusteringAlgorithm();
Cluster cluster = alg.performClustering(rmsdDistances, names, ls);
List<Cluster> subClusters;
int nClusters = 1;
if (numClusters > 0) {
subClusters = new ArrayList<>(Arrays.asList(cluster));
while (nClusters < numClusters) {
double maxDist = subClusters.get(0).getDistanceValue();
Cluster maxCluster = subClusters.get(0);
for (Cluster subcluster : subClusters) {
double dist = subcluster.getDistanceValue();
if (dist > maxDist) {
maxDist = dist;
maxCluster = subcluster;
}
}
List<Cluster> newClusters = maxCluster.getChildren();
nClusters += (newClusters.size() - 1);
subClusters.addAll(newClusters);
subClusters.remove(maxCluster);
}
logger.severe(" Num clusters not implemented yet.");
} else {
subClusters = getSubclusters(cluster, rmsdCutoff);
nClusters = subClusters.size();
}
assert nClusters == subClusters.size() : " nClusters != subClusters.size()";
return subClusters;
}
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