Identify images by their bitmaps using classification algorithms.
Output:
NUMBER OF TRAINING IMAGES : 2810
NUMBER OF TEST IMAGES : 2810
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USING K-MEANS ALGORITHM [training -> test] [cw2DataSet1.csv -> cw2DataSet2.csv]
Total Number of Images Tested : 2810
Accurate Suggestions : 2526
Accuracy : 90%
DURATION (in Seconds) : 0.556722405
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USING K-MEANS ALGORITHM [training -> test] [cw2DataSet2.csv -> cw2DataSet1.csv]
Total Number of Images Tested : 2810
Accurate Suggestions : 2556
Accuracy : 91%
DURATION (in Seconds) : 0.350663046
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USING K-NEAREST NEIGHBOUR ALGORITHM [training -> test] [cw2DataSet1.csv -> cw2DataSet2.csv]
Total Number of Images Tested : 2810
Accurate Suggestions : 2755
Accuracy : 98%
DURATION (in Seconds) : 90.624911641
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USING K-NEAREST NEIGHBOUR ALGORITHM [training -> test] [cw2DataSet2.csv -> cw2DataSet1.csv]
Total Number of Images Tested : 2810
Accurate Suggestions : 2767
Accuracy : 98%
DURATION (in Seconds) : 91.654028859