Change DB-SCAN parameters per dataset, Fix class enumerations

spike_sorting.m

@@ -270,11 +270,11 @@ for fileIndex=1:4
         distThreshold = 0.15;
         minPts = 30;
     elseif fileIndex == 3
-        distThreshold = 0.32;
-        minPts = 30;
+        distThreshold = 0.40;
+        minPts = 50;
     else
-        distThreshold = 0.36;
-        minPts = 35;
+        distThreshold = 0.30;
+        minPts = 40;
     end
     
     [~, dbScanClasses, ~] = dbscan(features(:, 6:7)', distThreshold, minPts);
@@ -289,8 +289,7 @@ for fileIndex=1:4
         dbScanClasses(dbScanClasses==2) = 1;
         dbScanClasses(dbScanClasses==7) = 2;
     elseif fileIndex == 4
-        dbScanClasses(dbScanClasses==1) = 7;
-        dbScanClasses(dbScanClasses==3) = 1;
+        dbScanClasses(dbScanClasses==3) = 7;
         dbScanClasses(dbScanClasses==2) = 3;
         dbScanClasses(dbScanClasses==7) = 2;
     end
@@ -316,10 +315,6 @@ for fileIndex=1:4
         hierarchicalClusters(hierarchicalClusters==1) = 7;
         hierarchicalClusters(hierarchicalClusters==2) = 1;
         hierarchicalClusters(hierarchicalClusters==7) = 2;
-    elseif fileIndex == 3
-        hierarchicalClusters(hierarchicalClusters==1) = 7;
-        hierarchicalClusters(hierarchicalClusters==2) = 1;
-        hierarchicalClusters(hierarchicalClusters==7) = 2;
     end
     
     figure();
@@ -351,6 +346,10 @@ for fileIndex=1:4
         kMeansClasses(kMeansClasses==2) = 1;
         kMeansClasses(kMeansClasses==3) = 2;
         kMeansClasses(kMeansClasses==7) = 3;
+    elseif fileIndex == 4
+        kMeansClasses(kMeansClasses==3) = 7;
+        kMeansClasses(kMeansClasses==2) = 3;
+        kMeansClasses(kMeansClasses==7) = 2;
     end
     
     figure();