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IEEE/ICACT20240324 Question.1
Questioner: sonpt26@gmail.com    2024-02-05 ¿ÀÀü 1:11:28
IEEE/ICACT20240324 Answer.1
Answer by Auhor vatcharavaree.wog@student.mahidol.ac.th   2024-02-05 ¿ÀÀü 1:11:28
Can you describe more about the input data for Rapidminer clustering? How many dimension does a data point have? Did you apply any pre-processing method for input data? Thank you for the question. Regarding the system overview diagram [slide no.6], we obtained 38 parameters from the MobSF analysis report. We then classified them into six data groups [slide no.9]. After that, we performed data cleansing for each data group before inputting the data into RapidMiner. We checked for missing data values, incorrect data formats, and transformed Boolean or status values into numbers, such as "0" for "no/false" and "1" for "yes/true". Subsequently, we calculated the centroid table using RapidMiner for each data group, ranging from 2 clusters to 6 clusters. Finally, we manually calculated the elbow curve to determine the optimal number of clusters.

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