Tiny fixes

spike_sorting.m

@@ -11,7 +11,7 @@
 %%
 %% =================================================================================================
 %% S.1
-clear
+clear all
 
 datasetMedians = zeros(8);
 datasetFactors = zeros(8);
@@ -84,15 +84,17 @@ for fileIndex=1:8
     [minValue, closestIndex] = min(abs(numberOfSpikesTrimmed-Dataset.spikeNum));
     datasetFactors(fileIndex) = thresholdFactorInitValue + (closestIndex - 1) * thresholdFactorStep;
     
-    clear {dataset, data}
+    clear dataset
+    clear data
 end
+fprintf('\n');
 
 %% Q.1.3
 figure();
+plot(datasetMedians, datasetFactors, 'o');
 title('Polynomial curve fitting on median-threshold factor value pairs');
 xlabel('Dataset median');
 ylabel('Threshold factor');
-plot(datasetMedians, datasetFactors, 'o');
 hold on;
 empiricalRule = polyfit(datasetMedians, datasetFactors, 8);
 visualizationX = linspace(0, 0.5, 50);
@@ -102,9 +104,11 @@ hold off
 
 %% =================================================================================================
 %% S.2
-clearvars closestIndex datasetFactors datasetMedians endValue minValue numberOfFactors ...
-    numberOfSpikesPerFactor numberOfSpikesTrimmed thresholdFactorEndValue thresholdFactorInitValue ...
-    thresholdFactorStep visualizationX visualizationY
+clearvars = {'closestIndex' 'datasetFactors' 'datasetMedians' 'endValue' 'minValue' 'numberOfFactors' ...
+    'numberOfSpikesPerFactor' 'numberOfSpikesTrimmed' 'thresholdFactorEndValue' 'thresholdFactorInitValue' ...
+    'thresholdFactorStep' 'visualizationX' 'visualizationY'};
+clear(clearvars{:})
+clear clearvars
 
 for fileIndex=1:4
     fprintf('Loading evaluation dataset no. %d \n', fileIndex);