This week's giveaway is in the Android forum. We're giving away four copies of Android Security Essentials Live Lessons and have Godfrey Nolan on-line! See this thread for details.

Hi there. Just a quick question I keep getting the following error but don't know why-as far as I can see the code is fine but knowing me i'm probably wrong. I don't think you actually need the whole code but just in case I have provided it all. The error appears after the first few lines of the code in line 9: private Vector euclidean(ResultSetMetaData rsmd){ The error is: Syntax error on token "(", ";" expected - the error is in relation to the opening bracket ie, after the word euclidean. Anyhow here's the class!

import java.sql.*; import java.util.*; public class distances { public static void main(String args[]) { /*This method calculates the distances between records using Euclidean distance*/ private Vector euclidean(ResultSetMetaData rsmd){ //ResultSetMetaData rsmd; int j = rsmd.getRowCount(); int l = rsmd.getColumnCount(); double distance; int [][]sum; sum = new int [j][l]; int theSum[]; theSum = new int [l]; /* Comparing each record attribute with the next record. The sum stores the value of the * differences between records (based on single attributes). The first for stmt looks at * one row at a time- the second for stmt the compares this row to all the other rows. * For every row comparison all the attributes are considered. NOTE: the second for stmt * starts at 2 so that the second row is considered (the first row is dealt with in the * first for stmt).*/ for (int i=1; i<j; ++i){ for (int all = 2; all<j; ++all){ for (int k=1; k<l; ++k)//attributes

/* Carry out the calculations to work out the euclidean distance. If the attribute value being * considered of type int then an exception occurrs and is caught in the catch clause- if the * 2 values differ then the distace is equal to 1 else it is equal to 0.*/ try{ for (int c=1; c<l; ++c){ theSum[c]=(sum[i][k] - sum[all][k]); }

/*Returns the squared result of the difference found between different record for the same * attribute.*/ for (int m=0; m<theSum.length; ++m )//need to square each element of theSum. theSum[m] = theSum[m]*theSum[m];

/*Add all the attribute differences together and then square them. Stores the resulting values * in an array. */ for (int ts=0; ts<theSum.length-1; ++ts){ int tts[] = tts + sum [ts]; distance = Math.sqrt((double)tts[ts]);//get square root of tts } }//end try catch (NumberFormatException nfe){ if (sum[i][k] == sum[all][k]){ distance = 0; } else if (sum[i][k] == sum[all][k]){ distance =1; } }//end catch

/*Devise the matrix. For the tuples being considered ther Squared Euclidean distance is entered in the * corresponding element of the array.This produces a matrix with the same number of column as rows. * The size of the matrix changes since it stores some calculations that * have been carried out on database rows. As a result the number of rows * that the database has is called for and this determines the size of the * matrix.*/ int row1= rsmd.getRowCount(), row2= rsmd.getRowCount(); double [][] distanceMatrix; distanceMatrix= new double [row1][row2]; for (int i=1;i<row1; ++i){ for (int all = 1; all<row2; ++row2) distanceMatrix[i][all] =distance; } } }

}

private Vector squaredEuclidean (ResultSetMetaData rsmd) { //ResultSetMetaData rsmd; int j = rsmd.getRowCount(); int l = rsmd.getColumnCount(); double distance; int [][]sum; sum = new int [j][l]; int theSum[]; theSum = new int [l]; /* Comparing each record attribute with the next record. The sum stores the value of the * differences between records (based on single attributes). The first for stmt looks at * one row at a time- the second for stmt the compares this row to all the other rows. * For every row comparison all the attributes are considered. NOTE: the second for stmt * starts at 2 so that the second row is considered (the first row is dealt with in the * first for stmt).*/ for (int i=1; i<j; ++i){ for (int all = 2; all<j; ++all){ for (int k=1; k<l; ++k)//attributes

/* Carry out the calculations to work out the euclidean distance. If the attribute value being * considered of type int then an exception occurrs and is caught in the catch clause- if the 2 * values differ then the distace is equal to 1 else it is equal to 0.*/ try{ for (int c=1; c<l; ++c){ theSum[c]=(sum[i][k] - sum[all][k]); }

/*Returns the squared result of the difference found between different record for the same * attribute.*/ for (int m=0; m<theSum.length; ++m )//need to square each element of theSum. theSum[m] = theSum[m]*theSum[m]; /*Add all the attribute differences together and then square them. Stores the resulting values * in an array. */ for (int ts=0; ts<theSum.length-1; ++ts){ distance = distance + theSum [ts]; } }//end try catch (NumberFormatException nfe){ if (sum[i][k] == sum[all][k]){ distance = 0; } else if (sum[i][k] == sum[all][k]){ distance =1; } }//end catch /*Devise the matrix. For the tuples being considered ther Squared Euclidean distance is entered in the * corresponding element of the array.This produces a matrix with the same number of column as * rows. The size of the matrix changes since it stores some calculations that have been * carried out on database rows. As a result the number of rows that the database has is called * for and this determines the size of the matrix.*/ int row1= rsmd.getRowCount(), row2= rsmd.getRowCount(); double[][] distanceMatrix; distanceMatrix= new double [row1][row2]; for ( i=1;i<row1; ++i){ for (int all = 1; all<row2; ++row2) distanceMatrix[i][all] =distance; } } }

}

private Vector manhattan(ResultSetMetaData rsmd) { //ResultSetMetaData rsmd; int j = rsmd.getRowCount(); int l = rsmd.getColumnCount(); double distance; int [][]sum; sum = new int [j][l]; int theSum[]; theSum = new int [l]; /* Comparing each record attribute with the next record. The sum stores the value of the * differences between records (based on single attributes). The first for stmt looks at * one row at a time- the second for stmt the compares this row to all the other rows. * For every row comparison all the attributes are considered. NOTE: the second for stmt * starts at 2 so that the second row is considered (the first row is dealt with in the * first for stmt).*/ for (int i=1; i<j; ++i){ for (int all = 2; all<j; ++all){ for (int k=1; k<l; ++k)//attributes

/* Carry out the calculations to work out the manhattan distance. If the attribute value being * considered of type int then an exception occurrs and is caught in the catch clause- if the 2 * values differ then the distace is equal to 1 else it is equal to 0.*/ try{ for (int c=1; c<l; ++c){ theSum[c]=(sum[i][k] - sum[all][k]); }

/*Add all the attribute differences together and then square them. Stores the resulting values * in an array. */ for (int ts=0; ts<theSum.length-1; ++ts){ distance = distance + theSum [ts]; } //check to see if the result of the calculation is negative. If so, make it positive. if (distance<0){ distance = distance*distance; } } catch (NumberFormatException nfe){ if (sum[i][k] == sum[all][k]){ distance = 0; } else if (sum[i][k] == sum[all][k]){ distance =1; } }//end catch /*Devise the matrix. For the tuples being considered ther manhattan distance is entered in the * corresponding element of the array.This produces a matrix with the same number of column as rows. * The size of the matrix changes since it stores some calculations that * have been carried out on database rows. As a result the number of rows * that the database has is called for and this determines the size of the * matrix.*/ int row1= rsmd.getRowCount(), row2= rsmd.getRowCount(); double [][] distanceMatrix; distanceMatrix= new double [row1][row2]; for (i=1;i<row1; ++i){ for (all = 1; all<row2; ++row2) distanceMatrix[i][all] =distance; } } }

You're trying to create a method inside of a method. private Vector euclidean(ResultSetMetaData rsmd) is inside of... public static void main(String args[]) Can't do that.

So the solution is to move the euclidean() method outside of main(), but keep it inside the distances class. As a suggestion, you should change distances to Distances. Typically, class names start with upper-case letters. Layne