The document describes experimental results from running fuzzy c-means clustering with simulated annealing (FuzzyCmeansSA) and k-means clustering algorithms. It reports the following:
- FuzzyCmeansSA had an execution time of 2.098129553 and memory of 27.55.
- KMeansClustering had a longer execution time of 22.37031143 but better memory usage of 65.742966.
- The code implements the two algorithms and inserts performance results into database tables for analysis.
1. Experimental Results:
Execution time
Time is defined as the fraction of relevant instances that are retrieved. In other words
it is said as the number of correctly predicted on better execution time .the time is carried
out using equation 4.3.
TIME=TP/TP+FN ……………….. (4.3)
Memory :
Memory is defined as the number of correctly predicted on the better instances
divided by the total number of instances present in dataset and the memory is
calculated using equation 4.4.
MEMORY=TP+TN/TP+TN+FP+FN ……………(4.4)