This python package implements k-medoids clustering with PAM and variants of clustering by direct optimization of the (Medoid) Silhouette. It can be used with arbitrary dissimilarites, as it requires ...

ABSTRACT: Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock prices under the condition that market is efficient. In ...

Understanding why certain diseases tend to co-occur is key for improving patient outcomes. This study introduces an approach to map disease co-occurrences using large-scale RNA sequencing data, ...

Schizophrenia is a chronic psychotic disorder characterized by the disruption of thought processes, perception, cognition, and behaviors, for which there is still a lack of objective and quantitative ...

Abstract: Clustering is a data mining method that aims to partition data into multiple clusters by minimizing inter-cluster similarity and maximizing intra-cluster similarity. K-medoids is one of the ...

The 2021 political typology divides the public into nine groups. The assignment of individuals to one of the nine groups is based on their responses to 27 questions about social and political values.

The absolute sea level trend from May 1995 to May 2019 in the Baltic Sea is analyzed by means of a regional monthly gridded dataset based on a dedicated processing of satellite altimetry data. In ...