Cluster Analysis of Patients Suffering from Addictions

Combes, Catherine

doi:10.1007/978-3-319-07476-4_9

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…For example, super solutions have been used to formalize the notion of a robust or stable solution of the Boolean satisfiability problem and the constraint satisfaction problem [13,15]. In the literature of combinatorial optimization, solution concepts with a similar flavor have also been studied, such as those used in the definition of the b-chromatic number problem and other minimaximal/maximinimal problems under a given partial order on the solution space of an underlying graph-theoretic problem [16,18], which has drawn continued interest in graph theory [11] and practice [7]. We note that the notion of a Nash equilibrium in game theory and its generalizations can also be regarded as a solution concept that requires a certain type of robustness.…”

Section: Introductionmentioning

confidence: 99%

A probabilistic study of generalized solution concepts in satisfiability testing and constraint programming

Zhang

Gao

2017

Theoretical Computer Science

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We study the probabilistic behaviour of solutions of random instances of the Boolean Satisfiability (SAT) and Constraint Satisfaction Problems (CSPs) that generalize the standard notion of a satisfying assignment. Our analysis focuses on a special type of generalized solutions, the (1,0)-super solutions. For random instances of k-SAT, we establish the exact threshold of the phase transition of the solution probability for k ≤ 3, and give upper and lower bounds on the threshold of the phase transition for the case of k ≥ 4. For CSPs, we derive an upper bound on the threshold of having a (1,0)-super solution asymptotically with probability 1, and establish a condition for the expected number of super solutions to grow exponentially.

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Section: Introductionmentioning

confidence: 99%

A probabilistic study of generalized solution concepts in satisfiability testing and constraint programming

Zhang

Gao

2017

Theoretical Computer Science

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Subpopulations of Addictive Behaviors in Different Sample Types and Their Relationships with Gender, Personality, and Well-Being: Latent Profile vs. Latent Class Analysis

Atroszko

Charzyńska

2021

IJERPH

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Background: Relatively strong theoretical assumptions and previous studies concerning co-occurring addictive behaviors suggest a subpopulation representing general proclivity to behavioral addictions (BAs), and there are gender-specific subpopulations. This study aimed to compare latent profile analysis (LPA) and latent class analysis (LCA) as the methods of investigating different clusters of BAs in the general student population and among students positively screened for at least one BA. Participants and procedure: Analyses of six BAs (study, shopping, gaming, Facebook, pornography, and food) and their potential antecedents (personality) and consequences (well-being) were conducted on a full sample of Polish undergraduate students (N = 1182) and a subsample (n = 327) of students including individuals fulfilling cutoff for at least one BA. Results: LPA on the subsample mostly replicated the previous four profiles found in the full sample. However, LCA on a full sample did not replicate previous findings using LPA and showed only two classes: those with relatively high probabilities on all BAs and low probabilities. LCA on the subsample conflated profiles identified with LPA and classes found with LCA in the full sample. Conclusions: LCA on dichotomized scores (screened positively vs. negatively) were less effective in identifying clear patterns of interrelationships between BAs based on relatively strong theoretical assumptions and found in previous research. BAs can be investigated on the whole spectrum of behavior, and person-centered analyses might be more useful when they are based on continuous scores. This paper provides more detailed analyses of the four basic clusters of BAs, prevalence, and co-occurrence of particular BAs within and between them, their gender and personality risk factors, relationships to well-being, and their interrelationships as emerging from the results of this and previous studies.

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Cluster Analysis of Patients Suffering from Addictions

Cited by 2 publications

References 9 publications

A probabilistic study of generalized solution concepts in satisfiability testing and constraint programming

A probabilistic study of generalized solution concepts in satisfiability testing and constraint programming

Subpopulations of Addictive Behaviors in Different Sample Types and Their Relationships with Gender, Personality, and Well-Being: Latent Profile vs. Latent Class Analysis

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