Given a set of objects and a pairwise similarity measure between them, the goal of correlation clustering is to partition the objects in a set of clusters to maximize the similarity of the objects within the same cluster and minimize the similarity of the objects in different clusters. In most of the variants of correlation clustering, the number of clusters is not a given parameter; instead, the optimal number of clusters is automatically determined. Correlation clustering is perhaps the most natural formulation of clustering: as it just needs a definition of similarity, its broad generality makes it applicable to a wide range of problems in different contexts, and, particularly, makes it naturally suitable to clustering structured objects for which feature vectors can be difficult to obtain. Despite its simplicity, generality, and wide applicability, correlation clustering has so far received much more attention from an algorithmic-theory perspective than from the data-mining community. The goal of this lecture is to show how correlation clustering can be a powerful addition to the toolkit of a data-mining researcher and practitioner, and to encourage further research in the area.
Given a set of objects and a pairwise similarity measure between them, the goal of correlation clustering is to partition the objects in a set of clusters to maximize the similarity of the objects within the same cluster and minimize the similarity of the objects in different clusters. In most of the variants of correlation clustering, the number of clusters is not a given parameter; instead, the optimal number of clusters is automatically determined. Correlation clustering is perhaps the most natural formulation of clustering: as it just needs a definition of similarity, its broad generality makes it applicable to a wide range of problems in different contexts, and, particularly, makes it naturally suitable to clustering structured objects for which feature vectors can be difficult to obtain. Despite its simplicity, generality, and wide applicability, correlation clustering has so far received much more attention from an algorithmic-theory perspective than from the data-mining community. The goal of this lecture is to show how correlation clustering can be a powerful addition to the toolkit of a data-mining researcher and practitioner, and to encourage further research in the area.
Given a set of objects and a pairwise similarity measure between them, the goal of correlation clustering is to partition the objects in a set of clusters to maximize the similarity of the objects within the same cluster and minimize the similarity of the objects in different clusters. In most of the variants of correlation clustering, the number of clusters is not a given parameter; instead, the optimal number of clusters is automatically determined. Correlation clustering is perhaps the most natural formulation of clustering: as it just needs a definition of similarity, its broad generality makes it applicable to a wide range of problems in different contexts, and, particularly, makes it naturally suitable to clustering structured objects for which feature vectors can be difficult to obtain. Despite its simplicity, generality, and wide applicability, correlation clustering has so far received much more attention from an algorithmic-theory perspective than from the data-mining community. The goal of this lecture is to show how correlation clustering can be a powerful addition to the toolkit of a data-mining researcher and practitioner, and to encourage further research in the area.
The pandemic has taught us all how important it can be to look after our physical and mental health, and how worthwhile it is to invest in taking care of ourselves. This short book illustrates the main trends that are modifying the fitness industry worldwide and highlights contemporary relevance to strategic change. It outlines what is currently happening within the promising fitness market and analyses the major emerging trends and the scientific data, referring to startups that could become very interesting market players in the years to come. Sustainability and technology will be the subject of in-depth analysis, as they represent the main drivers that will guide the sector in the future. The book also considers the most important aspect of sustainability related to the fitness industry and wellness more generally: the Silver Economy. The analysis is supported by an extensive database involving the 100 leading companies in the sector worldwide. The novelty of this research is to provide a document analysing the typical characteristics of this market, consumption dynamics, consumer triggers, and underlying the socio-economic scenario. The treatment of key themes such as fitness-tech startups, sport strategic management and above all innovation and sustainability make the book unique and appealing to researchers, academics, students, and practitioners.
First Published in 1989, this book offers a full, comprehensive guide into the role of Dopamine in the Periphery. Carefully compiled and filled with a vast repertoire of notes, diagrams, and references this book serves as a useful reference for Students of Medicine, and other practitioners in their respective fields.
The system of international criminal justice was established in response to gross human rights violations committed during World War II. Despite its development over the past seven decades, challenges and critiques remain unresolved or have subsequently emerged, particularly in the context of the International Criminal Court (ICC). Key issues include amnesties, immunities, controversial acquittals, non-cooperation, interpretative fragmentation, and cultural clashes. Criticism emerged as a reaction to the perception of impunity and the system’s underachievement. It is important to reflect on the extent to which such challenges are inherent to the system and whether they can be overcome. What is the state of international criminal justice today? What impact have these challenges had on the system’s integrity, currency, and credibility? To what extent can we prevent or remedy them? This volume brings together major contributions to the 8th AIDP Symposium for Young Penalists which was organised by the AIDP Young Penalists Committee and convened on 10 and 11 June 2021 in telematic mode, hosted by the Faculty of Law of Maastricht University.
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