Density Peaks Clustering (DPC) is a well-known clustering technique in the data mining field with fewer parameters as well as no iteration. However, when dealing with datasets containing multiple peaks, DPC may subjectively choose the wrong ...

The Density Peaks Clustering (DPC) algorithm is simple and efficient, but still has a few limitations. For example, DPC needs manual selection of clustering centers and may miss the correct cluster when searching for denser nearest neighbors, ...

Indoor 3D positioning system requires precise information from all three dimensions in space, but measurements in the vertical direction are usually interfered by sensors properties, unexpected obstructions, and other factors. Thus, accuracy and ...

This paper studies the effect of portfolio manager ownership (i.e., “skin in the game”) on mutual fund risk taking. Using holdings-based risk change measures that capture managers’ ex ante risk choices, we find that portfolio manager ownership reduces ...

This paper explores the influence of new experts employment on scientific research performance in universities, through bibliometric software analysis based on the literature data from 1980 to 2018. With the diversified development of literature ...