Examples of java.io.DataInputStream.readDouble()

java.io.DataInputStream.readDouble()
See the general contract of the readDouble method of DataInput.
Bytes for this operation are read from the contained input stream. @return the next eight bytes of this input stream, interpreted as adouble. @exception EOFException if this input stream reaches the end beforereading eight bytes. @exception IOException the stream has been closed and the containedinput stream does not support reading after close, or another I/O error occurs. @see java.io.DataInputStream#readLong() @see java.lang.Double#longBitsToDouble(long)

        curInfo[i].infoCluster[k] = new ClusterInfoKMean(numvars);
        curInfo[i].infoCluster[k].numOss = dis.readInt();
        for (j = 0; j < numvars; j++) {
          curInfo[i].infoCluster[k].percVar[j] = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].iNotZr = dis.readInt();
          curInfo[i].infoCluster[k].statClust[j].dMedia = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dStdEr = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dStdDv = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dVarnz = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dKurto = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dSkewn = dis.readDouble();

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        curInfo[i].infoCluster[k].numOss = dis.readInt();
        for (j = 0; j < numvars; j++) {
          curInfo[i].infoCluster[k].percVar[j] = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].iNotZr = dis.readInt();
          curInfo[i].infoCluster[k].statClust[j].dMedia = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dStdEr = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dStdDv = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dVarnz = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dKurto = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dSkewn = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dRange = dis.readDouble();

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        for (j = 0; j < numvars; j++) {
          curInfo[i].infoCluster[k].percVar[j] = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].iNotZr = dis.readInt();
          curInfo[i].infoCluster[k].statClust[j].dMedia = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dStdEr = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dStdDv = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dVarnz = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dKurto = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dSkewn = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dRange = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dMaxOs = dis.readDouble();

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          curInfo[i].infoCluster[k].percVar[j] = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].iNotZr = dis.readInt();
          curInfo[i].infoCluster[k].statClust[j].dMedia = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dStdEr = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dStdDv = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dVarnz = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dKurto = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dSkewn = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dRange = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dMaxOs = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dMinOs = dis.readDouble();

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          curInfo[i].infoCluster[k].statClust[j].iNotZr = dis.readInt();
          curInfo[i].infoCluster[k].statClust[j].dMedia = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dStdEr = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dStdDv = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dVarnz = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dKurto = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dSkewn = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dRange = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dMaxOs = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dMinOs = dis.readDouble();
        }

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          curInfo[i].infoCluster[k].statClust[j].dMedia = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dStdEr = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dStdDv = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dVarnz = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dKurto = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dSkewn = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dRange = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dMaxOs = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dMinOs = dis.readDouble();
        }
      }

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          curInfo[i].infoCluster[k].statClust[j].dStdEr = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dStdDv = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dVarnz = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dKurto = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dSkewn = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dRange = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dMaxOs = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dMinOs = dis.readDouble();
        }
      }
      for (k = 0; k < numoss; k++) {

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          curInfo[i].infoCluster[k].statClust[j].dStdDv = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dVarnz = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dKurto = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dSkewn = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dRange = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dMaxOs = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dMinOs = dis.readDouble();
        }
      }
      for (k = 0; k < numoss; k++) {
        asseg[i][k] = dis.readShort();

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          curInfo[i].infoCluster[k].statClust[j].dVarnz = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dKurto = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dSkewn = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dRange = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dMaxOs = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dMinOs = dis.readDouble();
        }
      }
      for (k = 0; k < numoss; k++) {
        asseg[i][k] = dis.readShort();
      }

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    entropy = new double[numCluster];


    //System.out.println("Loading Fuzzy kMeans Results "+fileName);
    for (i = 0; i < numCluster; i++) {
      curNumCluster = dis.readInt();
      entropy[i] = dis.readDouble();
      error = dis.readDouble();
      infoCluster = new ClusterInfoFuzzy[curNumCluster];
      if (error != -1) {
        for (k = 0; k < curNumCluster; k++) {
          infoCluster[k] = new ClusterInfoFuzzy(numvars);

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