Clustering similar patterns at stage 9-10

% Specify the MySQL parameters
nanosinfo.host='nanos';
nanosinfo.name='insitu';
nanosinfo.user='erwin';
nanosinfo.password='';

% Connect to the database with the Matlab Database toolbox
myconn=mysql_connect(nanosinfo)

% Create the stage 9-10 filtered datasets
[st9tmesh_pat, st9tpat_sym, st9usym, st9tmesh, st9tmesh_ref, st9symi_X50] = filterPipeline(myconn, ti, 4, 'lateral')

% Cluster the distinct patterns
[apc_st9tmeshpat, apc_st9tmeshpat_sym, apc_st9temesh] = run_apc(st9tmesh_pat, 'verbose', 1, 'show', ti, 'symidx', st9tpat_sym, 'symtext', st9usym)

% Explore some of the clusters in detail
study_clusters(ti, myconn, apc_st9temesh, apc_st9tmeshpat, 591,'display');
study_clusters(ti, myconn, apc_st9temesh, apc_st9tmeshpat, 59,'display');
study_clusters(ti, myconn, apc_st9temesh, apc_st9tmeshpat, 496,'display');
study_clusters(ti, myconn, apc_st9temesh, apc_st9tmeshpat, 500,'display');
study_clusters(ti, myconn, apc_st9temesh, apc_st9tmeshpat, 559,'display');
study_clusters(ti, myconn, apc_st9temesh, apc_st9tmeshpat, 524,'display');