The conjunctive model of hierarchical classes

Psychometrika ◽

10.1007/bf02294326 ◽

1995 ◽

Vol 60 (4) ◽

pp. 505-521 ◽

Author(s):

Iven Van Mechelen ◽

Paul De Boeck ◽

Seymour Rosenberg

Keyword(s):

Hierarchical Classes ◽

Conjunctive Model

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A Hierarchical Classes Approach to Discriminant Analysis

Between Data Science and Applied Data Analysis - Studies in Classification, Data Analysis, and Knowledge Organization ◽

10.1007/978-3-642-18991-3_34 ◽

2003 ◽

pp. 296-304

Author(s):

Luigi Lombardi ◽

Eva Ceulemans ◽

Iven Van Mechelen

Keyword(s):

Discriminant Analysis ◽

Hierarchical Classes

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AN ANALYSIS OF CONJUNCTIVE MODEL REDUCTION ALGORITHMS FOR SOLVING LINEAR PROGRAMMING PROBLEMS

Proceedings of the Third Asian Mathematical Conference 2000 ◽

10.1142/9789812777461_0025 ◽

2002 ◽

Author(s):

V.C. Jacob ◽

T. R. Natesan ◽

V. Rhymend Uthariaraj ◽

P. Narayanasamy

Keyword(s):

Linear Programming ◽

Model Reduction ◽

Linear Programming Problems ◽

Conjunctive Model

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The Real-Valued Model of Hierarchical Classes

Journal of Classification ◽

10.1007/s00357-011-9089-5 ◽

2011 ◽

Vol 28 (3) ◽

pp. 363-389 ◽

Author(s):

Jan Schepers ◽

Iven Van Mechelen ◽

Eva Ceulemans

Keyword(s):

Hierarchical Classes ◽

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Hierarchical Classes Analysis (HICLAS): A novel data reduction method to examine associations between biallelic SNPs and perceptual organization phenotypes in schizophrenia

Schizophrenia Research Cognition ◽

10.1016/j.scog.2015.03.003 ◽

2015 ◽

Vol 2 (2) ◽

pp. 56-63

Author(s):

Jamie Joseph ◽

Michael A. Gara ◽

Steven M. Silverstein

Keyword(s):

Perceptual Organization ◽

Data Reduction ◽

Reduction Method ◽

Hierarchical Classes ◽

Data Reduction Method

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Uniqueness of real-valued hierarchical classes models

Journal of Mathematical Psychology ◽

10.1016/j.jmp.2009.12.006 ◽

2010 ◽

Vol 54 (2) ◽

pp. 215-221 ◽

Author(s):

Jan Schepers ◽

Iven Van Mechelen

Keyword(s):

Hierarchical Classes

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An Evaluation of Two Algorithms for Hierarchical Classes Analysis

Journal of Classification ◽

10.1007/s00357-001-0005-2 ◽

2001 ◽

Vol 18 (1) ◽

pp. 57-80 ◽

Author(s):

Iwin Leenen ◽

Iven Van Mechelen

Keyword(s):

Hierarchical Classes

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A hierarchical classes analysis (HICLAS) of primary care patients with medically unexplained somatic symptoms

Psychiatry Research ◽

10.1016/s0165-1781(98)00088-2 ◽

1998 ◽

Vol 81 (1) ◽

pp. 77-86 ◽

Author(s):

Michael A Gara ◽

Roxanne Cohen Silver ◽

Javier I Escobar ◽

Alison Holman ◽

Howard Waitzkin

Keyword(s):

Primary Care ◽

Somatic Symptoms ◽

Hierarchical Classes ◽

Medically Unexplained ◽

Primary Care Patients ◽

Medically Unexplained Somatic Symptoms

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Hierarchical classes: Model and data analysis

Psychometrika ◽

10.1007/bf02294218 ◽

1988 ◽

Vol 53 (3) ◽

pp. 361-381 ◽

Author(s):

Paul De Boeck ◽

Seymour Rosenberg

Keyword(s):

Data Analysis ◽

Hierarchical Classes

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Formal Concept Analysis and Hierarchical Classes Analysis

NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society ◽

10.1109/nafips.2005.1548547 ◽

2005 ◽

Author(s):

Yaohua Chen ◽

Yiyu Yao

Keyword(s):

Formal Concept Analysis ◽

Concept Analysis ◽

Formal Concept ◽

Hierarchical Classes

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Analysis of FRP Chimneys Liners under Wind and Seismic Load

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.790.193 ◽

2013 ◽

Vol 790 ◽

pp. 193-197

Author(s):

An Xin Ding ◽

Ai Qing Ni ◽

Ji Hui Wang

Keyword(s):

Seismic Load ◽

Single Model ◽

Fiber Glass ◽

Earthquake Loads ◽

Model Method ◽

Reinforced Plastic ◽

Internal Forces ◽

Engineering Staff ◽

Conjunctive Model

Due to the increase of environment requirements, Fiber glass Reinforced Plastic (FRP) chimney liners are frequently used in coal-fired units. Wind and earthquake loads play an important role in the design of FRP chimney liners. Most of the engineering staff are still accustomed to accept single model, although, conjunctive model can reflect the effect of concrete cylinder on FRP liners and obtain more accurate internal forces of the liners under earthquake and wind loads. In this paper, a novel modified single model method is put forward to obtain accurate results.

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