data source : Umeng_Event_GetUniqueUsers.csv (daily app unique users)
feature : average, maximun and minimun of unique users on different period
K-means method: k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining.
ios_cluster
group1(valued) means that events now these events have many unique users:
android_cluster
android device can use the same method to separate different group.
group1(valued) means that events now these events have many unique users:
the different between two devices is App_First_Launch(android) and Launch_Soccer(ios).
group6 event don’t have any data(maybe they haven’t done)
the explains in these two methods are 94.71%(ios) and 93.71%(android).