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Studying the Stock Market via Unsupervised Machine Learning: How Well Do Sectors Align with Clusters?

Abstract This paper utilizes k-means clustering to cluster stocks in the Istanbul Stock Exchange based on certain financial indicators, principal component analysis to graph the data points and clusters with as much variance as possible in two dimensions. In the end, a confusion matrix is created to calculate the accuracy of the cluster prediction given

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Updated: Legal Systems and Individual Freedom

Abstract This paper tries to explain the relationship between public and private law and offer a new approach in defining the abstract political situations of voluntaryism and totalitarianism by tying them to legal systems. It offers a set of economic and political data to support the claim that the relationship between totalitarianism and voluntaryism and

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Party Performance in the 2024 Turkish Municipal Elections: Studying Votes Instead of Wins

Abstract The results of the 2024 Turkish municipal elections surprised many with CHP, the main opposition party, leading the polls for the first time in 35 years and lower turnout rates than one is used to observe in Turkish elections. This paper studies the city council elections, to avoid as much as it can the

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Legal Systems and Individual Freedom: A Western Linear Model

Abstract This paper tries to explain the relationship between public and private law and offer a new approach in conceptualizing the abstract political situations of voluntaryism/voluntarism and totalitarianism. It offers a set of economic and political data to support the claim that the relationship between totalitarianism and voluntaryism and that of public and private law can be explained in

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