Log in

Relevant bibliographies by topics / Statistical cluster analysis / Journal articles

To see the other types of publications on this topic, follow the link: Statistical cluster analysis.

Journal articles on the topic 'Statistical cluster analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Statistical cluster analysis.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

KIM, Y. E., M. RABINOWITZ, Y. K. BAE, G. S. CHULICK, and R. A. RICE. "CLUSTER–IMPACT NUCLEAR FUSION: SHOCK–WAVE STATISTICAL ANALYSIS." Modern Physics Letters B 05, no. 14n15 (1991): 941–59. http://dx.doi.org/10.1142/s0217984991001179.

Full text

Abstract:

Cluster–impact nuclear fusion is analyzed via a shock–wave model. We show that shock waves can be generated by clusters. Energy loss mechanisms are considered, and the conditions when they are not negligible are determined. Our theoretical model indicates that shock–wave enhanced fusion temperatures are possible with molecular size clusters impacting upon hydrogen isotope targets, somewhat as envisioned by Winterberg and Harrison for macro–projectiles. Our theory explains and reproduces the yields from known target and cluster compositions, as a function of cluster size and energy. Predictions

APA, Harvard, Vancouver, ISO, and other styles

2

Simioni, M., A. Aparicio, and G. Piotto. "Statistical analysis of Galactic globular cluster type properties." Monthly Notices of the Royal Astronomical Society 495, no. 4 (2020): 3981–89. http://dx.doi.org/10.1093/mnras/staa901.

Full text

Abstract:

ABSTRACT The analysis of pseudo-colour diagrams, the so-called chromosome maps, of Galactic globular clusters (GCs) permits to classify them into type I and type II clusters. Type II GCs are characterized by an above-the-average complexity of their chromosome maps and some of them are known to display star-to-star variations of slow neutron-capture reaction elements including iron. This is at the basis of the hypothesis that type II GCs may have an extragalactic origin and were subsequently accreted by the Milky Way. We performed a principal component analysis to explore possible correlations

APA, Harvard, Vancouver, ISO, and other styles

3

MORIMOTO, HISAO, and TORU MAEKAWA. "STATISTICAL ANALYSIS OF CLUSTER STRUCTURES FORMED BY DIPOLE-DIPOLE INTERACTIONS." International Journal of Modern Physics B 15, no. 06n07 (2001): 912–17. http://dx.doi.org/10.1142/s021797920100543x.

Full text

Abstract:

We developed a statistical model of the cluster formation of ferromagnetic particles and analysed the cluster structures. We investigated the effect of the control parameter λ, that is, the ratio of magnetic dipole moment energy to thermal energy, and external magnetic fields on the fractal dimensions of three-dimensional ferromagnetic clusters. We found that the fractal dimension of clusters, D, changes from 5/3 to 2 as λ increases in the absence of a magnetic field. We also found that when clusters are subjected to a magnetic field, the fractal dimension decreases and the transition region f

APA, Harvard, Vancouver, ISO, and other styles

4

Xu, Dong, and Nancy Redman-Furey. "Statistical cluster analysis of pharmaceutical solvents." International Journal of Pharmaceutics 339, no. 1-2 (2007): 175–88. http://dx.doi.org/10.1016/j.ijpharm.2007.03.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Capra, Miranda G. "Factor Analysis of Card Sort Data: An Alternative to Hierarchical Cluster Analysis." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 5 (2005): 691–95. http://dx.doi.org/10.1177/154193120504900512.

Full text

Abstract:

Software and product designers use card sorting to understand item groups and relationships. In the usability community, a common method of formal statistical analysis for open card sort data is hierarchical cluster analysis, which results in a tree of the items sorted into distinct, nested clusters. Hierarchical cluster analysis is appropriate for highly structured settings, like software menus. However, many situations call for softer clusters, such as designing websites where multiple pages link to the same target page. Factor analysis summarizes the categories created in card sorts and gen

APA, Harvard, Vancouver, ISO, and other styles

6

Nemani, Ramya. "Cluster and Factorial Analysis Applications in Statistical Methods." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 5176–82. http://dx.doi.org/10.17762/turcomat.v12i3.2145.

Full text

Abstract:

Cluster analysis is a mathematical technique in Multivariate Data Analysis which indicates the proper guidelines in grouping the data into clusters. We can understand the concept with illustrated notations of cluster Analysis and various Clustering Techniques in this Research paper. Similarity and Dissimilarity measures and Dendogram Analysis will be computed as required measures for Analysis. Factor analysis technique is useful for understanding the underlying hidden factors for the correlations among the variables. Identification and isolation of such facts is sometimes important in several

APA, Harvard, Vancouver, ISO, and other styles

7

Haydar, FMA, NK Paul, and MA Khaleque. "D2 statistical analysis of yield contributing traits in maize (Zea mays L.) inbreds." Bangladesh Journal of Botany 44, no. 4 (2018): 629–34. http://dx.doi.org/10.3329/bjb.v44i4.38634.

Full text

Abstract:

Investigation was carried out to determine the genetic divergence in the 25 maize inbred lines. Analysis of variance revealed highly significant differences among all the inbreds. Inbreds were grouped into five clusters, indicating the presence of genetic diversity. The clusters I, IV and V had the highest number of inbreds (6). The maximum inter-cluster distance was observed between clusters I and III (19.279) and the highest intra-cluster distance was recorded in cluster III (0.243) and also wide range of variation was observed in cluster mean performance for the characters studied. Intercro

APA, Harvard, Vancouver, ISO, and other styles

8

Averbeck, Bruno B., Alexandra Battaglia-Mayer, Carla Guglielmo, and Roberto Caminiti. "Statistical Analysis of Parieto-Frontal Cognitive-Motor Networks." Journal of Neurophysiology 102, no. 3 (2009): 1911–20. http://dx.doi.org/10.1152/jn.00519.2009.

Full text

Abstract:

Considerable information has been gathered on the anatomical connectivity within the parieto-frontal network of the primate brain. To examine the statistical regularities in this connectivity, we carried out hierarchical cluster analysis and found statistically significant clusters of areas: four in the parietal and six in the frontal lobe. Clusters were based on patterns of inputs from all cortical areas. Both parietal and frontal clusters were composed of sets of spatially contiguous architectonic areas. The four parietal clusters were composed of sets of anterior (somatosensory), dorsal, in

APA, Harvard, Vancouver, ISO, and other styles

9

Ryan, Catherine J., Karen M. Vuckovic, Lorna Finnegan, et al. "Acute Coronary Syndrome Symptom Clusters: Illustration of Results Using Multiple Statistical Methods." Western Journal of Nursing Research 41, no. 7 (2019): 1032–55. http://dx.doi.org/10.1177/0193945918822323.

Full text

Abstract:

Researchers have employed various methods to identify symptom clusters in cardiovascular conditions, without identifying rationale. Here, we test clustering techniques and outcomes using a data set from patients with acute coronary syndrome. A total of 474 patients who presented to emergency departments in five United States regions were enrolled. Symptoms were assessed within 15 min of presentation using the validated 13-item ACS Symptom Checklist. Three variable-centered approaches resulted in four-factor solutions. Two of three person-centered approaches resulted in three-cluster solutions.

APA, Harvard, Vancouver, ISO, and other styles

10

Kim, Ji Ye, and Eun Hye Ha. "Cluster Analysis of the Child Behavior Checklist 1.5–5 for Preschool Children Diagnosed With a Mental Disorder." Psychological Reports 123, no. 4 (2019): 1403–24. http://dx.doi.org/10.1177/0033294119844980.

Full text

Abstract:

Research on the relationship between the Child Behavior Checklist (CBCL) and Diagnostic and Statistical Manual for Mental Disorder diagnoses for preschool children is scarce. Cluster analysis can be useful for investigating characteristics of a clinical group by using CBCL subscales and classifying subtypes of a Diagnostic and Statistical Manual for Mental Disorder diagnosis group. This study conducted a cluster analysis of the CBCL 1.5–5 for preschool children diagnosed with a mental disorder. Participants were 333 children (255 males and 78 females) aged 1.5 to 5 years who were diagnosed wit

APA, Harvard, Vancouver, ISO, and other styles

11

Kim, Yang-Jin, and Han-Na Yoo. "Statistical Analysis of Clustered Interval-Censored Data with Informative Cluster Size." Communications for Statistical Applications and Methods 17, no. 5 (2010): 689–96. http://dx.doi.org/10.5351/ckss.2010.17.5.689.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Mirmelstein, M., M. Shimon, and Y. Rephaeli. "Detection likelihood of cluster-induced CMB polarization." Astronomy & Astrophysics 644 (November 30, 2020): A36. http://dx.doi.org/10.1051/0004-6361/201834657.

Full text

Abstract:

Nearby galaxy clusters can potentially induce sub-microkelvin polarization signals in the cosmic microwave background (CMB) at characteristic scales of a few arcminutes. We explore four such polarization signals induced in a rich nearby fiducial cluster and calculate the likelihood of their detection by a telescope project with capabilities such as those of the Simons Observatory (SO). In our feasibility analysis, we include instrumental noise, primordial CMB anisotropy, statistical thermal Sunyaev-Zeldovich (SZ) cluster signal, and point source confusion, assuming a few percent of the nominal

APA, Harvard, Vancouver, ISO, and other styles

13

Ryoo, Ji Hoon, Seohee Park, Seongeun Kim, and Hyun Suk Ryoo. "Efficiency of Cluster Validity Indexes in Fuzzy Clusterwise Generalized Structured Component Analysis." Symmetry 12, no. 9 (2020): 1514. http://dx.doi.org/10.3390/sym12091514.

Full text

Abstract:

Fuzzy clustering has been broadly applied to classify data into K clusters by assigning membership probabilities of each data point close to K centroids. Such a function has been applied into characterizing the clusters associated with a statistical model such as structural equation modeling. The characteristics identified by the statistical model further define the clusters as heterogeneous groups selected from a population. Recently, such statistical model has been formulated as fuzzy clusterwise generalized structured component analysis (fuzzy clusterwise GSCA). The same as in fuzzy cluster

APA, Harvard, Vancouver, ISO, and other styles

14

Halčinová, Jana, Iveta Janeková, and Gabriela Ižaríková. "Production Segmentation Using Hierarchical Methods of Cluster Analysis." Applied Mechanics and Materials 816 (November 2015): 514–20. http://dx.doi.org/10.4028/www.scientific.net/amm.816.514.

Full text

Abstract:

Article is directed to segmentation of production using hierarchical methods of cluster analysis. Analysis is performed in statistical software STATISTICA. The result of clustering process are segments of products and machinery in form of arranged machine-product matrix. These data may serve for changing the disposition of workplace toward to manufacturing cells.

APA, Harvard, Vancouver, ISO, and other styles

15

Logrippo, Luigi, and Bernard Stepien. "Cluster analysis for the computer-assisted statistical analysis of melodies." Computers and the Humanities 20, no. 1 (1986): 19–33. http://dx.doi.org/10.1007/bf02393461.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Gang-Ling, Hou, Ge Bin, Sun Liang-Liang, and Xing Kai-Xin. "A study on wine sensory evaluation by the statistical analysis method." Czech Journal of Food Sciences 38, No. 1 (2020): 1–10. http://dx.doi.org/10.17221/438/2017-cjfs.

Full text

Abstract:

In this paper, we construct a rating credibility model of red wine by the Analytic Hierarchy Process, achieve the classification of red grapes through the evaluation results of red wine and cluster analysis method and analyze the correlation of the physical and chemical indicators between red grapes and red wine. Thus, the paper demonstrates that aromatic substances play an important role in the quality of red wine, so we cannot evaluate the quality of wine only by the physical and chemical indicators of wine grapes and wine.

APA, Harvard, Vancouver, ISO, and other styles

17

Prasad, Jagdish, and Rahul Rajawat. "A Note on Comparison between Statistical Cluster and Neural Network Cluster." Recent Patents on Engineering 13, no. 2 (2019): 166–73. http://dx.doi.org/10.2174/1872212112666180216161153.

Full text

Abstract:

Background: Cluster analysis is a data reduction technique in rows of the data matrix. This technique is widely used in engineering, biology, society, pattern recognition, and image processing. Objective: In this paper, self organized map (SOM) using the artificial neural network and different statistical techniques of cluster analysis are used on Population data of 33 districts of Rajasthan with 9 variables for comparison purpose. Methods: The goal of this work is to identify the most suitable technique for clustering the data by using the artificial neural network and different statistical c

APA, Harvard, Vancouver, ISO, and other styles

18

Mamedov, Musa A., and Serpil Pehlivan. "Statistical Cluster Points and Turnpike Theorem in Nonconvex Problems." Journal of Mathematical Analysis and Applications 256, no. 2 (2001): 686–93. http://dx.doi.org/10.1006/jmaa.2000.7061.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Hurbánková, Ľubica, and Dominika Krasňanská. "STATISTICAL ANALYSIS OF THE EUROPEAN UNION COUNTRIES ON THE BASIS OF SELECTED SOCIO-ECONOMIC AND DEMOGRAPHIC INDICATORS." Balkans Journal of Emerging Trends in Social Sciences 2, no. 1 (2019): 88–96. http://dx.doi.org/10.31410/balkans.jetss.2019.2.1.88-96.

Full text

Abstract:

The aim of the paper is to compare the European Union countries on the basis of selected socio-economic and demographic indicators for the year 2016. The following indicators are selected for analysis: gross domestic product per capita, government gross debt as a percentage of gross domestic product, inflation rate, unemployment rate, total fertility rate, infant mortality rate and crude divorce rate. The contribution of the paper is a division of the countries of the European Union into several groups using cluster analysis so that the countries belonging to the same cluster are as similar as

APA, Harvard, Vancouver, ISO, and other styles

20

Das, Pratulananda, Kaustubh Dutta, and Vatan Karakaya. "On Cluster Points, Continuity, and Boundedness Associated with the Generalized Statistical Convergence in Probabilistic Normed Spaces." Abstract and Applied Analysis 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/909364.

Full text

Abstract:

We consider the recently introduced notion ofℐ-statistical convergence (Das, Savas and Ghosal, Appl. Math. Lett., 24(9) (2011), 1509–1514, Savas and Das, Appl. Math. Lett. 24(6) (2011), 826–830) in probabilistic normed spaces and in the following (Şençimen and Pehlivan (2008 vol. 26, 2008 vol. 87, 2009)) we introduce the notions like strongℐ-statistical cluster points and extremal limit points, and strongℐ-statistical continuity and strongℐ-statisticalD-boundedness in probabilistic normed spaces and study some of their important properties.

APA, Harvard, Vancouver, ISO, and other styles

21

Shishulin, Sergey S. "Methodology сomparative statistical analysis of Russian industry based on cluster analysis". Statistics and Economics, № 3 (1 січня 2017): 21–30. http://dx.doi.org/10.21686/2500-3925-2017-3-21-30.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Kozak, L. V., and B. A. Petrenko. "Statistical analysis of plasma turbulence using Cluster II data." Astronomical School’s Report 12, no. 2 (2016): 179–84. http://dx.doi.org/10.18372/2411-6602.12.2179.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

ŠAFERIS, VIKTORAS, and LEONARDAS A. VILKAUSKAS. "CLUSTER ANALYSIS BY TESTING THE STATISTICAL HYPOTHESIS OF UNIFORMITY." Statistics in Medicine 15, no. 7-9 (1996): 817–21. http://dx.doi.org/10.1002/(sici)1097-0258(19960415)15:7/9<817::aid-sim251>3.0.co;2-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Dąbrowska, Aleksandra, Bartłomiej Kozakowski, and Janusz Wolny. "Statistical approach in cluster analysis of two-dimensional quasicrystals." Acta Crystallographica Section A Foundations of Crystallography 61, no. 3 (2005): 350–57. http://dx.doi.org/10.1107/s0108767305009505.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Raudenbush, Stephen W. "Statistical analysis and optimal design for cluster randomized trials." Psychological Methods 2, no. 2 (1997): 173–85. http://dx.doi.org/10.1037/1082-989x.2.2.173.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Mendelin, Martin, and Bruno Binggeli. "Statistical analysis of bound companions in the Coma cluster." Astronomy & Astrophysics 604 (August 2017): A96. http://dx.doi.org/10.1051/0004-6361/201730567.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Dabrowska, A., and J. Wolny. "Statistical approach in cluster analysis of two-dimensional quasicrystals." Acta Crystallographica Section A Foundations of Crystallography 60, a1 (2004): s188. http://dx.doi.org/10.1107/s010876730409628x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Huang, J. Y., Y. B. Qiu, and X. P. Guo. "Cluster and discriminant analysis of electrochemical noise statistical parameters." Electrochimica Acta 54, no. 8 (2009): 2218–23. http://dx.doi.org/10.1016/j.electacta.2008.10.039.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Darrouzet, F., J. De Keyser, P. M. E. Décréau, F. El Lemdani-Mazouz, and X. Vallières. "Statistical analysis of plasmaspheric plumes with Cluster/WHISPER observations." Annales Geophysicae 26, no. 8 (2008): 2403–17. http://dx.doi.org/10.5194/angeo-26-2403-2008.

Full text

Abstract:

Abstract. Plasmaspheric plumes have been routinely observed by the four Cluster spacecraft. This paper presents a statistical analysis of plumes observed during five years (from 1 February 2001 to 1 February 2006) based on four-point measurements of the plasmasphere (outside 4 Earth radii) as it is sampled by the spacecraft in a narrow local time sector before and after perigee. Plasmaspheric plumes can be identified from electron density profiles derived from the electron plasma frequency determined by the WHISPER wave sounder onboard Cluster. As the WHISPER instrument has a limited frequency

APA, Harvard, Vancouver, ISO, and other styles

30

Boulesteix, A. L., J. Knaus, and C. Bernau. "Application of Microarray Analysis on Computer Cluster and Cloud Platforms." Methods of Information in Medicine 52, no. 01 (2013): 65–71. http://dx.doi.org/10.3414/me11-02-0043.

Full text

Abstract:

Summary Background: Analysis of recent high-dimensional biological data tends to be computationally intensive as many common approaches such as resampling or permutation tests require the basic statistical analysis to be repeated many times. A crucial advantage of these methods is that they can be easily parallelized due to the computational independence of the resampling or permutation iterations, which has induced many statistics departments to establish their own computer clusters. An alternative is to rent computing resources in the cloud, e.g. at Amazon Web Services. Objectives: In this a

APA, Harvard, Vancouver, ISO, and other styles

31

Retike, Inga, Andis Kalvans, Konrads Popovs, Janis Bikse, Alise Babre, and Aija Delina. "Geochemical classification of groundwater using multivariate statistical analysis in Latvia." Hydrology Research 47, no. 4 (2016): 799–813. http://dx.doi.org/10.2166/nh.2016.020.

Full text

Abstract:

Multivariate statistical methods – principal component analysis (PCA) and hierarchical cluster analysis (HCA) – are applied to identify geochemically distinct groundwater groups in the territory of Latvia. The main processes observed to be responsible for groundwater chemical composition are carbonate and gypsum dissolution, fresh and saltwater mixing and ion exchange. On the basis of major ion concentrations, eight clusters (C1–C8) are identified. C6 is interpreted as recharge water not in equilibrium with most sediment forming minerals. Water table aquifers affected by diffuse agricultural i

APA, Harvard, Vancouver, ISO, and other styles

32

Cupak, Agnieszka, Agnieszka Ziernicka-Wojtaszek, Joanna Krużel, et al. "The use of hierarchical cluster analysis for grouping atmospheric precipitation in Poland." E3S Web of Conferences 86 (2019): 00018. http://dx.doi.org/10.1051/e3sconf/20198600018.

Full text

Abstract:

The aim of this study is to present the application of statistical methods to assess the possibility of grouping precipitation according to their elevation above sea level and precipitation levels in the temperate climate of Poland. The country was divided into regions with similar levels of precipitation using cluster analysis by Ward’s method. The study was performed with meteorological data on average monthly precipitation of 53 meteorological stations from 1981 to 2010. The selection of stations was dictated by the need to consider the variability in amounts of annual precipitation through

APA, Harvard, Vancouver, ISO, and other styles

33

Matoušek, V., A. Čermáková, N. Kernerová, and P. Králová. "Analysis of prolificacy in sows of hyperprolific lines of Large White breed." Czech Journal of Animal Science 50, No. 4 (2011): 155–62. http://dx.doi.org/10.17221/4009-cjas.

Full text

Abstract:

The objective of the paper was to evaluate the results of reproductive performance of sows in some elite breeding herds of the Large White breed included in experimental herds for the production of hyperprolific lines of dam breeds. The set consisted of 98 sows with the known genotypes of ESR, FSH&acirc; and PRLR genes. The dendrogram shows that on the basis of their genetic outfit the sows can be divided into two clusters. The first cluster can be described as a cluster with marked dominance of HPL sows and the second cluster with marked dominance of the sows of basic herd. The first clus

APA, Harvard, Vancouver, ISO, and other styles

34

KUO, CHIH-YU, SHAO-KUAN WEI, and PI-WEN TSAI. "ENSEMBLE EMPIRICAL MODE DECOMPOSITION WITH SUPERVISED CLUSTER ANALYSIS." Advances in Adaptive Data Analysis 05, no. 01 (2013): 1350005. http://dx.doi.org/10.1142/s1793536913500052.

Full text

Abstract:

Ensemble empirical mode decomposition (EEMD) is a noise-assisted data analysis method which decomposes a signal into a collection of intrinsic mode functions (IMFs). There nevertheless appears a multi-mode problem where signals with a similar timescale are decomposed into different IMF components. A possible solution to this problem is to recombine the multi-mode IMF components into a proper single mode but as of yet, no general rules have been proposed in the literature. This paper presents the incorporation of a statistical cluster analysis to assist in the diagnosis of multi-mode IMFs and t

APA, Harvard, Vancouver, ISO, and other styles

35

O’Connor, Nancy A., Trace Kershaw, and Alicia D. Hameister. "Documenting Patterns of Nursing Interventions Using Cluster Analysis." Journal of Nursing Measurement 9, no. 1 (2001): 73–90. http://dx.doi.org/10.1891/1061-3749.9.1.73.

Full text

Abstract:

Use of inferential statistics in research applications of the Nursing Intervention Classification has been rare, yet use of these statistical techniques is needed to answer questions related to intervention patterns. Using data from a descriptive study of 3,733 visits documented by 19 adult nurse practitioner students, hierarchical agglomerative cluster analysis was used to determine whether meaningful nursing intervention patterns could be depicted. Eight intervention clusters were derived, replicated, and validated. Clusters of intervention classes differed in the type of nursing and medical

APA, Harvard, Vancouver, ISO, and other styles

36

Khelif, Safia, and Abderrahmane Boudoukha. "Multivariate statistical characterization of groundwater quality in Fesdis, East of Algeria." Journal of Water and Land Development 37, no. 1 (2018): 65–74. http://dx.doi.org/10.2478/jwld-2018-0026.

Full text

Abstract:

AbstractThis study is a contribution to the knowledge of hydrochemical properties of the groundwater in Fesdis Plain, Algeria, using multivariate statistical techniques including principal component analysis (PCA) and cluster analysis. 28 samples were taken during February and July 2015 (14 samples for each month). The principal component analysis (PCA) applied to the data sets has resulted in four significant factors which explain 75.19%, of the total variance. PCA method has enabled to highlight two big phenomena in acquisition of the mineralization of waters. The main phenomenon of producti

APA, Harvard, Vancouver, ISO, and other styles

37

Koko, Elsiddig Elsadig Mohamed, and Amin Ibrahim Adam Mohamed. "Missing data treatment method on cluster analysis." International Journal of Advanced Statistics and Probability 3, no. 2 (2015): 191. http://dx.doi.org/10.14419/ijasp.v3i2.5318.

Full text

Abstract:

<p>The missing data in household health survey was challenged for the researcher because of incomplete analysis. The statistical tool cluster analysis methodology implemented in the collected data of Sudan's household health survey in 2006.</p><p>Current research specifically focuses on the data analysis as the objective is to deal with the missing values in cluster analysis. Two-Step Cluster Analysis is applied in which each participant is classified into one of the identified pattern and the optimal number of classes is determined using SPSS Statistics/IBM. However, the ris

APA, Harvard, Vancouver, ISO, and other styles

38

Endovitsky, Dmitry A., Yury I. Treshchevsky, and Evgeny A. Rudnev. "Statistical Analysis of the Spatial and Functional Localization of Education Subsystems in Russian Regions." Higher Education in Russia 28, no. 3 (2019): 75–84. http://dx.doi.org/10.31992/0869-3617-2019-28-3-75-84.

Full text

Abstract:

The paper considers the specifics of the spatial and functional localization of regional education subsystems in the Russian Federation. Such subsystems include pre-school education, school education, secondary vocational education, and higher education. A set of indicators is suggested that can be used to assess the development stage of these subsystems. Cluster analysis made it possible to group the country’s regions according to the parameters of the education system, and determine the major characteristics of these groups (virtual clusters). Development tendencies of the education subsyste

APA, Harvard, Vancouver, ISO, and other styles

39

Flores, X., J. Comas, I. R. Roda, L. Jiménez, and K. V. Gernaey. "Application of multivariable statistical techniques in plant-wide WWTP control strategies analysis." Water Science and Technology 56, no. 6 (2007): 75–83. http://dx.doi.org/10.2166/wst.2007.586.

Full text

Abstract:

The main objective of this paper is to present the application of selected multivariable statistical techniques in plant-wide wastewater treatment plant (WWTP) control strategies analysis. In this study, cluster analysis (CA), principal component analysis/factor analysis (PCA/FA) and discriminant analysis (DA) are applied to the evaluation matrix data set obtained by simulation of several control strategies applied to the plant-wide IWA Benchmark Simulation Model No 2 (BSM2). These techniques allow i) to determine natural groups or clusters of control strategies with a similar behaviour, ii) t

APA, Harvard, Vancouver, ISO, and other styles

40

Williams, E., Ricardo Colasanti, Kasope Wolffs, Paul Thomas, and Ben Hope-Gill. "Classification of Tidal Breathing Airflow Profiles Using Statistical Hierarchal Cluster Analysis in Idiopathic Pulmonary Fibrosis." Medical Sciences 6, no. 3 (2018): 75. http://dx.doi.org/10.3390/medsci6030075.

Full text

Abstract:

In idiopathic pulmonary fibrosis (IPF) breathing pattern changes with disease progress. This study aims to determine if unsupervised hierarchal cluster analysis (HCA) can be used to define airflow profile differences in people with and without IPF. This was tested using 31 patients with IPF and 17 matched healthy controls, all of whom had their lung function assessed using spirometry and carbon monoxide CO transfer. A resting tidal breathing (RTB) trace of two minutes duration was collected at the same time. A Euclidian distance technique was used to perform HCA on the airflow data. Four disti

APA, Harvard, Vancouver, ISO, and other styles

41

Keča, Ljiljana, Špela Pezdevšek-Malovrh, Sreten Jelić, Stjepan Posavec, and Milica Marčeta. "Market characteristics and cluster analysis of non-wood forest products." Šumarski list 141, no. 3-4 (2017): 151–62. http://dx.doi.org/10.31298/sl.141.3-4.5.

Full text

Abstract:

The share of small and medium-sized enterprises (SMEs) is largely present in forestry, especially in the segment related to non-wood forest products (NWFPs) in Europe. They are also a dominant category in entrepreneurship in Serbia. Therefore, the subjects of this research were the companies operating in the sector of NWFPs, within specific statistical regions of Serbia. The database of SMEs was obtained from 119 SMEs and the share of surveyed SMEs was 81.5%. The main research method was two-step cluster analysis. Questionnaire was used for the purpose of the research. The aim of the research

APA, Harvard, Vancouver, ISO, and other styles

42

López-Medina, C., S. Chevret, A. Moltó, et al. "OP0047 IDENTIFICATION OF CLINICAL PHENOTYPES IN PATIENTS WITH AXIAL SPONDYLOARTHRITIS, PERIPHERAL SPONDYLOARTHRITIS AND PSORIATIC ARTHRITIS ACCORDING TO PERIPHERAL MUSCULOSKELETAL MANIFESTATIONS: A CLUSTER ANALYSIS IN THE INTERNATIONAL ASAS-PERSPA STUDY." Annals of the Rheumatic Diseases 80, Suppl 1 (2021): 24.2–25. http://dx.doi.org/10.1136/annrheumdis-2021-eular.805.

Full text

Abstract:

Background:Patients with a diagnosis of Spondyloarthritis (SpA) and Psoriatic Arthritis (PsA) may have predominant axial or peripheral symptoms, and the frequency and distribution of these symptoms may determine the clinical diagnosis by the rheumatologist (“clinical clusters”). Clustering analysis represents an unsupervised exploratory analysis which tries to identify homogeneous groups of cases (“statistical clusters”) without prior information about the membership for any of the cases.Objectives:To identify “statistical clusters” of peripheral involvement according to the specific location

APA, Harvard, Vancouver, ISO, and other styles

43

Vostrá Vydrová, Hana, and Zuzana Novotná. "Evaluation of disparities in living standards of regions of the Czech Republic." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 60, no. 4 (2012): 407–14. http://dx.doi.org/10.11118/actaun201260040407.

Full text

Abstract:

This paper focuses on regional differences between the regions of the Czech Republic. We will focus on observation of inequalities between indicators of living in different regions of the Czech Republic. The indicators are evaluated at NUTS 3 (regions), using multivariate statistical techniques - factor analysis and cluster analysis. We have identified the twelve indicators of living standards. Base data was reduced using factor analysis on the three emerging factors: 1) basic characteristics, 2) risk groups, 3) environmental variable. Cluster analysis was compiled groups of regions with simil

APA, Harvard, Vancouver, ISO, and other styles

44

Rahman, Ayesha S., and Ataur Rahman. "Application of Principal Component Analysis and Cluster Analysis in Regional Flood Frequency Analysis: A Case Study in New South Wales, Australia." Water 12, no. 3 (2020): 781. http://dx.doi.org/10.3390/w12030781.

Full text

Abstract:

This paper examines the applicability of principal component analysis (PCA) and cluster analysis in regional flood frequency analysis. A total of 88 sites in New South Wales, Australia are adopted. Quantile regression technique (QRT) is integrated with the PCA to estimate the flood quantiles. A total of eight catchment characteristics are selected as predictor variables. A leave-one-out validation is applied to determine the efficiency of the developed statistical models using an ensemble of evaluation diagnostics. It is found that the PCA with QRT model does not perform well, whereas cluster/

APA, Harvard, Vancouver, ISO, and other styles

45

Marzban, Caren, and Scott Sandgathe. "Cluster Analysis for Verification of Precipitation Fields." Weather and Forecasting 21, no. 5 (2006): 824–38. http://dx.doi.org/10.1175/waf948.1.

Full text

Abstract:

Abstract A statistical method referred to as cluster analysis is employed to identify features in forecast and observation fields. These features qualify as natural candidates for events or objects in terms of which verification can be performed. The methodology is introduced and illustrated on synthetic and real quantitative precipitation data. First, it is shown that the method correctly identifies clusters that are in agreement with what most experts might interpret as features or objects in the field. Then, it is shown that the verification of the forecasts can be performed within an event

APA, Harvard, Vancouver, ISO, and other styles

46

Zhao, Wen Qing, and Dong Xiao Niu. "Transformer Fault Diagnosis Based on Cluster Analysis and Statistical Theory." Advanced Materials Research 168-170 (December 2010): 1611–14. http://dx.doi.org/10.4028/www.scientific.net/amr.168-170.1611.

Full text

Abstract:

A new method for transformer fault diagnosis based on cluster analysis and statistical theory is presented. First, the fault diagnosis results are obtained according to the distances between the state sorts of transformer. Then, the final fault diagnosis is accomplished according to the concentration distribution of typical fault gases in higher dimensional space. The proposed approach is constructing the most accuracy model from few training samples supporting. Moreover, by comparing with the other methods, it cost less time for diagnosing by the proposed model and the accuracy for transforme

APA, Harvard, Vancouver, ISO, and other styles

47

Turner, Claude, and Anthony Joseph. "A Statistical and Cluster Analysis Exploratory Study of Snort Rules." Procedia Computer Science 114 (2017): 106–15. http://dx.doi.org/10.1016/j.procs.2017.09.023.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Wahl, Reiner, Michael Mertig, Harald Engelhardt, and Wolfgang Pompe. "Multivariate Statistical Analysis of Cluster Arrays on a Biomolecular Template." Microscopy and Microanalysis 9, S03 (2003): 466–67. http://dx.doi.org/10.1017/s1431927603036146.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Donner, Allan, Gilda Piaggio, and José Villar. "Statistical methods for the meta-analysis of cluster randomization trials." Statistical Methods in Medical Research 10, no. 5 (2001): 325–38. http://dx.doi.org/10.1177/096228020101000502.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Donner, A., G. Piaggio, and J. Villar. "Statistical methods for the meta-analysis of cluster randomization trials." Statistical Methods in Medical Research 10, no. 5 (2001): 325–38. http://dx.doi.org/10.1191/096228001680678322.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!