Cluster::Cluster(RAbundVector* rav, ListVector* lv, SparseMatrix* dm, float c, string f) :
rabund(rav), list(lv), dMatrix(dm), method(f)
{
+ try {
/*
cout << "sizeof(MatData): " << sizeof(MatData) << endl;
cout << "sizeof(PCell*): " << sizeof(PCell*) << endl;
//save so you can modify as it changes in average neighbor
cutoff = c;
m = MothurOut::getInstance();
+
+ }
+ catch(exception& e) {
+ m->errorOut(e, "Cluster", "Cluster");
+ exit(1);
+ }
}
/***********************************************************************/
void Cluster::update(double& cutOFF){
try {
getRowColCells();
-//cout << "got rowcells" << endl;
vector<int> foundCol(nColCells, 0);