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- W4313020007 abstract "Android is the two primary operating systems used worldwide besides Apple's iOS. The many uses in the world run the business environment, one of which is the application. Clustering is a way to group a set that has the same characteristics. This paper aims to determine the data clusters of applications in the Google Play Store on Android-based smartphones. This research uses the google play dataset from Kaggle to do clustering. The Clustering process uses the K-Means method because it is easy to adapt and commonly used. The use of the Euclidean distance function gives better results because the cluster sum of squared errors is 40,34548185675776, which is smaller than Manhattan, which is 230,14186656443604." @default.
- W4313020007 created "2023-01-05" @default.
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- W4313020007 date "2022-08-23" @default.
- W4313020007 modified "2023-09-30" @default.
- W4313020007 title "Android Application Clustering with K-Means Method" @default.
- W4313020007 doi "https://doi.org/10.1109/apics56469.2022.9918753" @default.
- W4313020007 hasPublicationYear "2022" @default.
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