Application of cluster analysis in optimization problem of pricing of a mobile Internet App

Abstract

Abstract This paper focus on the problem of task pricing and completion of the tasks of a mobile Internet APP. Based on the original data set, the original pricing model of the project’s tasks was established by using the multiple linear regression analysis. The influences of factors such as the task point’s pricing, number of other tasks, and total task price on tasks completion were analysed. Further, based on the factors which affecting task completion, a new task pricing model was developed by using cluster analysis to tailor the price of some task points and significantly improved the completion of task without increasing the total task price.