Abstract: This paper proposes a method for optimizing prediction models based on the ARIMA time series and the K-means clustering algorithm to address the challenge of solving world puzzle games. The ...

Abstract: The k-means algorithm is one of the most widely used methods for data clustering. However, traditional k-means can only be applied in the original feature space, limited to handle nonlinear ...

It's a September surprise monthly consumer price inflation came in a tick lower than forecast last month for both headline and core. But annual inflation is still rising. Bloomberg TV's Mike McKee ...

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