inserting them into the similarity measure between documents. Our results show that different model configurations allow adapted … similarity-based document clustering and knowledge discovery. In particular, different LSA configurations together with …

is based on a partition of each player's moves into similarity classes. A valuation of a player is a real-valued function … on the set of her similarity classes. In this equilibrium each player's strategy is optimal in the sense that at each of … consistent with the strategy profile in the sense that the valuation of a similarity class is the player's expected payoff, given …

Herfindahl-Hirschmann index and the degree of structural similarity using the similarity index developed by Finger and Kreinin … (1979). We also analyse the convergence of GDP growth rates over time and compare it with export similarity. At the industry … special cases. Export structures became more similar before 2008. However, manufacturing value added similarity decreased. GDP …

similarity. I find that the mean smallest number of dimensions in real data is one standard deviation smaller than in randomly …

most suitable methodology. By extensively testing various possibilities, we arrive at a choice of a dissimilarity measure … (compression-based dissimilarity measure, or CDM) which is particularly suitable for clustering macroeconomic variables. We check …

portfolio holdings can result in common selling. We measure the overlap in holdings using cosine similarity, and show that …, insurers with greater portfolio similarity have even larger common sales that impact prices. Our measure can be used by …