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Clustering Algorithms for Risk-Adjusted Portfolio Construction

Leon-Nieto, Diego - 2017

This paper presents the performance of seven portfolios created using clustering analysis techniques to sort out assets into categories and then applying classical optimization inside every cluster to select best assets inside each asset category.The proposed clustering algorithms are tested...

Persistent link: https://www.econbiz.de/10012956422

Projection Clustering Unfolding : A New Algorithm for Clustering Individuals or Items In A Preference Matrix

Sciandra, Mariangela - 2018

(PCU) algorithm for preference data will be proposed in order to extract useful information in a low-dimensional subspace …

Persistent link: https://www.econbiz.de/10012915384

Selection of Suppliers Using Crisp Gradual Means Integral in Conjunction with Clustering Algorithms

Abdelhadi, Abdelhakim; Almomani, Mohammed - 2023

It is important for companies to select the right suppliers to deal with in order to avoid any disruptions. Considerable research has been conducted to find the solution for this problem. Previous attempts were made to account for uncertainties and disruptions in decision-making in order to rank...

Persistent link: https://www.econbiz.de/10014360420

Mixed-integer quadratic optimization and iterative clustering techniques for semi-supervised support vector machines

Burgard, Jan Pablo; Pinheiro, Maria Eduarda; Schmidt, Martin - In: Top : an official journal of the Spanish Society of … 32 (2024) 3, pp. 391-428

Persistent link: https://www.econbiz.de/10015188200

An interactive data clustering algorithm

King, J. R. - In: Flexible manufacturing systems : methods and studies, (pp. 285-300). 1986

Persistent link: https://www.econbiz.de/10001306913

MPOC : an agglomerative algorithm for multicriteria partially ordered clustering

Rocha, Clara; Dias, Luis C. - In: 4OR : a quarterly journal of operations research 11 (2013) 3, pp. 253-273

Persistent link: https://www.econbiz.de/10010205347

Measures for the structure of clustering and admissibilities of its algorithm

Takeuchi, Akinobu; Yadohisa, Hiroshi; Inada, Koichi - 2001

The problem of selecting a clustering algorithm from the myriad of algorithms has been discussed in recent years. Many … clustering result. New admissibilities of the clustering algorithm and a new agglomerative hierarchical clustering algorithm are …. -- structure ; admissibility ; AHCA (agglomerative hierarchical clustering algorithm) …

Persistent link: https://www.econbiz.de/10009615418

Mathematical programming formulations and algorithms for discrete k-median clustering of time-series data

Seref, Onur; Fan, Ya-ju; Chaovalitwongse, Wanpracha - In: INFORMS journal on computing : JOC 26 (2014) 1, pp. 160-172

Persistent link: https://www.econbiz.de/10010344112

Data clustering : review and investigation of parallel genetic algorithms for revealing clusters

Dehuri, Satchidananda; Mishra, Bhabani Shankar Prasad; … - In: International journal of applied management science 6 (2014) 3, pp. 212-243

Persistent link: https://www.econbiz.de/10011284563

CL.E.KMODES : a modified k-modes clustering algorithm

Mastrogiannis, N.; Giannikos, I.; Boutsinas, B.; … - In: Journal of the Operational Research Society : OR 60 (2009) 8, pp. 1085-1095

Persistent link: https://www.econbiz.de/10003882025