public int clusteringAllTransac(string LoginID)
{
Clustering_Users_DAO dao = null;
ClusterSchedule clusterSchedule = new ClusterSchedule();
clusterSchedule.ClusterType = ConstantValues.SCHE_CLUSTER_USER;
clusterSchedule.Log = String.Empty;
clusterSchedule.LoginID = LoginID;
int processType = checkProcess();
if (processType == 0)
{
Settings st = getSettings();
try
{
dao = new Clustering_Users_DAO();
dao.beginTransaction();
// Add to Schedule
clusterSchedule.Algorithm = st.cluster_type;
string log = "Clustering Client\n";
clusterSchedule.Log = log;
dao.addNewClusterSchedule(clusterSchedule);
// Clean data
dao.CLEAN_USER_CENTROID_TBL();
dao.CLEAN_PARTION_TBL();
dao.CLEAN_USER_CLUSTER_TBL();
dao.CLEAN_RATTING_MATRIX();
List<User_SubCategories> list_User_SubCategories = dao.getAllSubCategories();
bool existTransac = false;
List<string> list_User_Categories = get_User_Categories(list_User_SubCategories);
List<List<User_SubCategories>> list_SMALL_User_SubCategories = new List<List<User_SubCategories>>();
foreach (var item in list_User_Categories)
list_SMALL_User_SubCategories.Add(new List<User_SubCategories>());
#region Cluster For LargeGroup
int numUser = 0;
Dictionary<string, int> allItem = new Dictionary<string, int>();
foreach (User_SubCategories item in list_User_SubCategories)
{
string categoryName = item.U_SubCategoryID + "_";
// Convert Data to matrix
Dictionary<string, int> dic_users = new Dictionary<string, int>();
Dictionary<string, int> dic_items = new Dictionary<string, int>();
// Compute ratting matrix
List<MatrixItem> lstRMI = dao.computeRattingMatrixItem(item.U_SubCategoryID, st.Alpha);
double[][] x = Util.toMatrix_MatrixItem(lstRMI, out dic_users, out dic_items);
if (dic_users.Count > st.U_M/2)
{
numUser += dic_users.Count;
foreach (var it in dic_items)
if (!allItem.ContainsKey(it.Key))
allItem.Add(it.Key, it.Value);
LoadCluster(dao, st, ref existTransac, item.U_SubCategoryID, categoryName, dic_users, dic_items, x);
}
else
add_SMALL_User_SubCategories(list_User_Categories, ref list_SMALL_User_SubCategories, item);
}
#endregion
#region Cluster For SmallGroup
dao.delete_USER_CLUSTER_TBL_2("_MERGE_");
dao.delete_PARTION_TBL_2("_MERGE_");
dao.delete_USER_CENTROID_TBL_2("_MERGE_");
for (int i = 0; i < list_User_Categories.Count; i++)
{
string categoryName = list_User_Categories[i] + "_MERGE_";
// Convert Data to matrix
Dictionary<string, int> dic_users = new Dictionary<string, int>();
Dictionary<string, int> dic_items = new Dictionary<string, int>();
// Compute ratting matrix
List<MatrixItem> lstRMI = new List<MatrixItem>();
foreach (User_SubCategories item in list_SMALL_User_SubCategories[i])
lstRMI.AddRange(dao.computeRattingMatrixItem(item.U_SubCategoryID, st.Alpha));
double[][] x = Util.toMatrix_MatrixItem(lstRMI, out dic_users, out dic_items);
numUser += dic_users.Count;
foreach (var it in dic_items)
if (!allItem.ContainsKey(it.Key))
allItem.Add(it.Key, it.Value);
LoadCluster(dao, st, ref existTransac, list_User_Categories[i], categoryName, dic_users, dic_items, x);
}
#endregion
// Remove Excess USER_CLUSTER_TBL
dao.removeExcessCluster();
// Update USE_TBL
if (existTransac)
updateTransac_CheckPoint();
log += "\t Number of Client Categories: " + list_User_SubCategories.Count;
log += "\t Number of Client : " + numUser;
log += "\t Number of Item : " + allItem.Count;
log += "\n Parameter: \n";
log += "\t Algorithm:" + st.cluster_type;
log += "\t Epsilon :" + st.epsilon;
log += "\t Max Loop :" + st.maxLoop;
// Update Success Schedule
clusterSchedule.Log = log;
dao.updateClusterSchedule(clusterSchedule);
dao.commitTransaction();
}
catch (Exception ex)
{
dao.rollbackTransaction();
throw ex;
}
}
return processType;
}