Examples with ClusteringAlgorithm com.apporiented.algorithm.clustering.ClusteringAlgorithm used on opensource projects

Example 1 with ClusteringAlgorithm

use of com.apporiented.algorithm.clustering.ClusteringAlgorithm 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;
}