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Article

NEW METHOD OF VARIABLE SELECTION FOR BINARY DATA CLUSTER ANALYSIS

Cluster analysis of binary data is a relatively poorly developed task in comparison with cluster analysis for data measured on stronger scales. For example, at the stage of variable selection one can use many methods arranged for arbitrary measurement scales but the results are usually of poor quality. In practice, the only methods dedicated for variable selection for binary data are the ones proposed by Brusco (2004), Dash et al. (2000) and Talavera (2000). In this paper the efficiency of

Jerzy Korzeniewski

Statistics in Transition New Series , ISSUE 2, 295–304

Research Article

CLASSIFYING RAILWAY PASSENGER STATIONS FOR USE TRANSPORT PLANNING – APPLICATION TO BULGARIAN RAILWAY NETWORK

and cluster analysis has been applied to classify the stations. The factors have been classified into 4 components by the method of principal components. The stations have been classified into 6 groups using hierarchical cluster analysis. The methods, Average linkage between group and Within-groupslinkage, and distance-type measures Euclidean distance and Squared Euclidean distance were compared to verify the results of cluster analysis. The grouping of the stations has 

Svetla STOILOVA, Radina NIKOLOVA

Transport Problems , ISSUE 2, 143–155

Research Article

An application of the graph theory which examines the metro networks

, density of the route. The new and the existing indicators have been used to analyze and classify the metro networks. The statistical method cluster analysis has been applied to classify the networks. Ten indicators have been used to carry out an analysis. The metro systems in European capitals have been classified in three clusters. The first cluster includes large metro systems, the second one includes small metro networks whereas the third cluster includes metro networks with only one line. The

Svetla STOILOVA, Veselin STOEV

Transport Problems , ISSUE 2, 35–48

Research paper

FUNCTIONAL STRUCTURE OF POLISH REGIONS IN THE PERIOD 2004-2013 – MEASUREMENT VIA HHI INDEX, FLORENCE’S COEFFICIENT OF LOCALIZATION AND CLUSTER ANALYSIS

The article addresses the measurement and identification problems covering particular social and economic areas (referred to as functions) in the regions of the country, based on the employment structure analysis and assessment by the sectors of the economy. The Herfindahl-Hirschman index was applied to measure sectoral concentration and Florence’s coefficient of localization to determine regional functional specialization. Finally, cluster analysis was conducted to produce the functional

Marek Obrębalski, Marek Walesiak

Statistics in Transition New Series , ISSUE 2, 223–242

Article

Numerical Taxonomy Helps Identification of Merliniidae and Telotylenchidae (Nematoda: Tylenchoidea) from Iran

Numerical taxonomy was used for identification and grouping of the genera, species, and populations in the families Merliniidae and Telotylenchidae. The variability of each of 44 morphometric characters was evaluated by calculation of the coefficient of variability (CV) and the ratio of extremes (max/min) in the range of 1,020 measured females. Also correlation and regression analyses were made between characters to find potential collinearities. Hierarchical cluster analysis (HCA

REZA GHADERI, HABIBALLAH HAMZEHZARGHANI, AKBAR KAREGAR

Journal of Nematology , ISSUE 2, 207–222

Research Article

Improving the Logistical Processes in Corporate Service System

The study deals with enhancing the reliability of freight cars by improving the corporate service system. Assessing of the quality of spare parts suppliers is discussed. An algorithm for supplier selection and an evaluation method, based on cluster analysis of indicators of supplier reliability, is proposed. Alternative developments for a service network, in view of expanding of the car fleet powered by natural gas-based fuel have been considered.АннотацияВ статье рассматриваются способы

Irina Makarova, Rifat Khabibullin, Eduard Belyaev, Larisa Gabsalikhova, Eduard Mukhametdinov

Transport Problems , ISSUE 1, 5–18

Article

EXAMINING SIMILARITIES IN TIME ALLOCATION AMONGST EUROPEAN COUNTRIES

: cluster analysis, k-means method, generalised distance measure GDM and interval taxonomic method TMI. The analysis was performed on the basis of HETUS data.

Marta Hozer-Koćmiel, Christian Lis

Statistics in Transition New Series , ISSUE 2, 317–330

Article

THE CHOICE OF NORMALIZATION METHOD AND RANKINGS OF THE SET OF OBJECTS BASED ON COMPOSITE INDICATOR VALUES

identified. The considerations included in Table 3 reduce this number to 10 normalization methods. Next, the article discusses the procedure which allows separating groups of normalization methods leading to similar rankings of the set of objects separately for each composite indicator formula. The proposal, based on Kendall’s tau correlation coefficient (Kendall, 1955) and cluster analysis, can reduce the problem of choosing the normalization method. Based on the suggested research procedure the

Marek Walesiak

Statistics in Transition New Series , ISSUE 4, 693–710

Article

THE CHOICE OF NORMALIZATION METHOD AND RANKINGS OF THE SET OF OBJECTS BASED ON COMPOSITE INDICATOR VALUES

identified. The considerations included in Table 3 reduce this number to 10 normalization methods. Next, the article discusses the procedure which allows separating groups of normalization methods leading to similar rankings of the set of objects separately for each composite indicator formula. The proposal, based on Kendall’s tau correlation coefficient (Kendall, 1955) and cluster analysis, can reduce the problem of choosing the normalization method. Based on the suggested research procedure the

Marek Walesiak

Statistics in Transition New Series , ISSUE 4, 693–710

Article

A NOVEL GRID INTERSECTION POINT DETECTION AND MATCHING METHOD IN THE BINOCULAR PULSE MEASUREMENT SYSTEM

Hough transformation. Then, the global structure parameters are acquired through cluster analysis. Secondly, the grayscale image is divided into several detection regions (each of which includes one intersection point to be detected) in accordance to the obtained global structure parameters and the intersection points in the detection regions are accurately located using the ridge line fitting method. Finally, the intersection points in the left and right images are matched based on their

L. M. Yang, A. H. Zhang, D. M. Lin, L. Zhu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 256–273

Article

EVALUATION OF THE EU COUNTRIES’ INNOVATIVE POTENTIAL – MULTIVARIATE APPROACH

Elżbieta Roszko-Wójtowicz, Jacek Białek

Statistics in Transition New Series , ISSUE 1, 167–180

Original Paper

Molecular Study of Indigenous Bacterial Community Composition on Exposure to Soil Arsenic Concentration Gradient

Actinobacteria and Proteobacteria but a shift towards Proteobacteria was observed with increasing arsenic concentration, and number of Actinobacteria eventually decreases. PCA (Principle Component Analysis) plot of bacterial community composition indicated a distinct resemblance among high arsenic content samples, while low arsenic content samples remained separated from others. Cluster analysis of soil parameters identifies three clusters, each of them was related to the arsenic content. Further, cluster

Semanti Basu, Tanima Paul, Priya Yadav, Abhijit Debnath, Keka Sarkar

Polish Journal of Microbiology , ISSUE 2, 209–221

Research Article

A MULTIDIMENSIONAL AND DYNAMISED CLASSIFICATION OF POLISH PROVINCES BASED ON SELECTED FEATURES OF HIGHER EDUCATION IN 2002–2013

Wojciech Łukaszonek

Statistics in Transition New Series , ISSUE 2, 271–290

original-paper

Microbiota and Chemical Compounds in Fermented Pinelliae Rhizoma (Banxiaqu) from Different Areas in the Sichuan Province, China

BO SHU, JING YING, TAO WANG, MENGQIAN XIA, WENYU ZHAO, LING YOU

Polish Journal of Microbiology , ISSUE 1, 83–92

research-article

Description of Rotylenchus rhomboides n. sp. and a Belgian population of Rotylenchus buxophilus (Tylenchomorpha: Hoplolaimidae)

Scutellonema truncatum (accession number: KX959308) were selected for COI mtDNA data set. Cluster analysis and web-based key The new species was compared with 103 described species, based on the tabular key of Castillo and Vovlas (2005). This was done using Hierarchical Cluster analysis implemented in the software Primer 6 (Clarke and Gorley, 2006) using Bray–Curtis similarity measure with the percent similarity between species defined by the average of the multiple characters. The 11 characters of 103

Huu Tien Nguyen, Quang Phap Trinh, Marjolein Couvreur, Phougeishangbam Rolish Singh, Wilfrida Decraemer, Wim Bert

Journal of Nematology , 1–20

original-paper

Assessing the Microbial Communities in Four Different Daqus by Using PCR-DGGE, PLFA, and Biolog Analyses

sanguinis (AJ251778.1) 95 aBands are numbered according to Fig. 1. bIdentity represents the sequence identity (%) compared with that in the GenBank database. Multivariate analysis of DGGE profiles. UPGMA cluster analysis was used to examine relationships among the four Daqus (Yunita et al. 2018). Comparisons by the UPGMA cluster analysis (Fig. 1B) using the Dice correlation coefficient showed that Wuling Daqu and Deshan Daqu grouped first, and then clustered with Baisha Daqu and Niulanshan Daqu

YUXI LING, WENYING LI, TONG TONG, ZUMING LI, QIAN LI, ZHIHUI BAI, GUIJUN WANG, JIAHAO CHEN, YUGUANG WANG

Polish Journal of Microbiology , ISSUE 1, 27–37

Article

THE EFFECT OF BINARY DATA TRANSFORMATION IN CATEGORICAL DATA CLUSTERING

Jana Cibulková, Zdenek Šulc, Sergej Sirota, Hana Rezanková

Statistics in Transition New Series , ISSUE 2, 33–47

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