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Cluster Analysis Based on the Central Tendency Deviation Principle [chapter]

Julien Ah-Pine
2009 Lecture Notes in Computer Science  
Given the previous equations, we can draw out the central tendency deviation principle.  ...  In section 2, we introduce the central tendency deviation principle and define three new clustering functions. Next, in section 3, we detail the associated clustering algorithm.  ... 
doi:10.1007/978-3-642-03348-3_5 fatcat:rpspbzpe5bexhjyfwot2glr6wm

Refining Measure of Central Tendency and Dispersion

DR. P. Anilkumar DR. P. Anilkumar
2013 IOSR Journal of Mathematics  
Retaining the spirit of this notion, measure of central tendency may be called point of central tendency.  ...  This generalized notion is extended to introduce the concept of an interval of central tendency.  ...  A measure of central tendency is a point around which majority of the observations are clustered.  ... 
doi:10.9790/5728-0610104 fatcat:zxp2yu2qwfgdbbxjza747h7yba

Portuguese food retailers – Exploring three classic theories of retail location

Tânia Reigadinha, Pedro Godinho, Joana Dias
2017 Journal of Retailing and Consumer Services  
principle of minimum differentiation.  ...  This article sets forth results from an exploratory empirical study that aimed to test the predictive validity of three classic location theories: central place theory, spatial interaction theory and the  ...  Acknowledgements The authors acknowledge all the support given by the ESRI Portugal technical support team. Appendix A. Process of Creating Random Numbers in ArcGIS  ... 
doi:10.1016/j.jretconser.2016.09.015 fatcat:bc53unymt5f3tly6z5zn7mytg4

Evaluation of Genetic Diversity in Maintainer and Restorer Inbreds of Helianthus annus L. using Multivariate Techniques

Hafiz Basheer Ahmad, Sajida Habib, Waqas Shafqat Chattha, Rizwana Qamar, Shazia Saeed, Abdul Khaliq, Salsabeel Rauf
2021 Pakistan Journal of Agricultural Research  
It is prerequisite to find the genotypes with more than one desirable traits from different groups based on the mean values of their cluster.  ...  Basic or descriptive statistics such as measure of central tendency and measure of dispersion for the above traits were calculated.  ...  Conflict of interest The authors have declared no conflict of interest.  ... 
doi:10.17582/journal.pjar/2021/34.3.431.437 fatcat:elu3x6w6urby5fhhmjrlmgxuuy

Spatial Correlation and Convergence Analysis of Eco-Efficiency in China

Defeng Zheng, Shuai Hao, Caizhi Sun, Leting Lyu
2019 Sustainability  
We then proposed a new asymmetrical spatial weight matrix based on the eco-economic transformation index (EETI)-distance reciprocal principle to assess the spatial character of eco-efficiency.  ...  China during the study period; meanwhile, the significant high-high and low-high clustering areas were located in the eastern, the central, and the western regions. (3) The study of convergence showed  ...  Conflicts of Interest: The authors declare no conflict of interest. Sustainability 2019, 11, 2490  ... 
doi:10.3390/su11092490 fatcat:pnbmbws5ibdefldtm5aqrzpway

Graph Clustering by Maximizing Statistical Association Measures [chapter]

Julien Ah-Pine
2013 Lecture Notes in Computer Science  
We underline the connections between the proposed framework and the modularity model. Our theoretical work comes with an empirical study on computer-generated graphs.  ...  Our approach relies on the representation of statistical association measures in a relational formulation which uses the adjacency matrices of the equivalence relations underlying the partitions.  ...  This expression of SAM better underlines the connections between the general modularity framework given in (1) and cluster analysis methods based on the central tendency deviation principle [14] .  ... 
doi:10.1007/978-3-642-41398-8_6 fatcat:7tqi4t32e5a3fmy7hox4uuedmm

On a Generalized Mass-Velocity Relation for Disk Galaxies and Galaxy Clusters [article]

Jeffrey M. La Fortune
2021 arXiv   pre-print
We perform the same analysis for a sample of HIFLUGCS galaxy clusters (Tian et al, 2021) found in prior work with SPARC galaxies (arXiv: 2101.01537).  ...  We consolidate the BFJ and BTF (MVD) relations into a generalized Scaling Mass Velocity Relation applicable to both pressure-supported galaxy clusters and rotation-supported galaxies.  ...  We include the SPARC galaxy 'central tendency' (CTG) distribution with its median 3.96 and standard deviation 0.58.  ... 
arXiv:2110.02684v1 fatcat:2e45tirn45eundxtxmmmnmv3uu

Descriptive epidemiology of endemic Classical Swine Fever in Cuba

Osvaldo Fonseca, Liani Coronado, Laymara Amarán, Carmen L. Perera, Yosdany Centelles, Damarys N. Montano, Pastor Alfonso, Octavio Fernández, Kleber R. Santoro, María T. Frías-Lepoureau, María I. Percedo
2018 Spanish Journal of Agricultural Research  
the risk based principles.  ...  Data on CSF occurrence from January 2010 to December 2016 were analyzed. The seven-year period shows a tendency of the number of affected premises to increase (r=0.31, p=0.005) over time (month).  ...  Acknowledgements The authors thank Dr. Eduardo Sistachs for his significant contribution in the language revision.  ... 
doi:10.5424/sjar/2018162-12487 fatcat:kubrcztzhnh6zahmtulew7tlle

Methodology of physiography zoning using machine learning: A case study of the Black Sea

Denis Krivoguz
2020 Russian Journal of Earth Science  
Formed methodology based on several stages -selection of data and objects for analysis, data normalization, assessment of predisposition of data for clustering, choosing the optimal number of clusters,  ...  Our point is to from a modern approach, based on the machine learning methods to provide zoning of any area.  ...  The principle of distinguishing different regions was based on quantitative analysis of the dominant species in different regions of the Black Sea.  ... 
doi:10.2205/2020es000707 fatcat:xluhdffnbrb73fc3jlnuqya6ry

Protein-Protein Interface Detection Using the Energy Centrality Relationship (ECR) Characteristic of Proteins

Sanjana Sudarshan, Sasi B. Kodathala, Amruta C. Mahadik, Isha Mehta, Brian W. Beck, Elena Papaleo
2014 PLoS ONE  
Using Principal Component Analysis and K-means clustering on a training set of 160 interfaces, we could distinguish FLIPs from FunCs with an accuracy of 76%.  ...  We have identified that FLIP interfaces have a stronger central organizing tendency than FunCs, due, we suggest, to greater specificity.  ...  We would like to acknowledge the valuable discussions Drs. Lynda Uphouse and DiAnna Hynds (both TWU). Author Contributions  ... 
doi:10.1371/journal.pone.0097115 pmid:24830938 pmcid:PMC4022497 fatcat:rhttunzdirf23f7j2tblqvbhoa

Structure of a B-DNA dodecamer: conformation and dynamics

H. R. Drew, R. M. Wing, T. Takano, C. Broka, S. Tanaka, K. Itakura, R. E. Dickerson
1981 Proceedings of the National Academy of Sciences of the United States of America  
In spite of favorable salt conditions, the central A-A-T-T segment apparently is sufficient to counteract the Z-forming tendencies ofthe tetrameric C-G-C-G ends, resulting in a classical Watson-Crick B  ...  The worst bond length in the structure deviates by 0.03 A from its ideal value, and the worst bond angle deviates by 4.40.  ...  Atoms involved in the outer hydrogen bonds of any one base pair frequently vibrate more than those in the central hydrogen bond, consistent with a propeller twist motion.  ... 
doi:10.1073/pnas.78.4.2179 pmid:6941276 pmcid:PMC319307 fatcat:543qte6gkrhh7gnpi22xu63tzm

Freeway safety as a function of traffic flow

Thomas F. Golob, Wilfred W. Recker, Veronica M. Alvarez
2004 Accident Analysis and Prevention  
We demonstrate how these relationships can form the basis for a tool that monitors the real-time safety level of traffic flow on an urban freeway.  ...  In this paper, we present evidence of strong relationships between traffic flow conditions and the likelihood of traffic accidents (crashes), by type of crash.  ...  The contents of this paper reflect the views of the authors who are responsible for the facts and the accuracy of the data presented herein.  ... 
doi:10.1016/j.aap.2003.09.006 pmid:15350870 fatcat:z7olnjyctvedzaxcpcm3pniyu4

Organizational network perceptions versus reality: A small world after all?

Martin Kilduff, Craig Crossland, Wenpin Tsai, David Krackhardt
2008 Organizational Behavior and Human Decision Processes  
arrange people in dense clusters, and connect the clusters with short paths.  ...  Given the complexity of organizing and keeping track of even a small organizational network, boundedly rational people may have learned to use small world principles in perceiving friendship networks:  ...  , including a tendency to exaggerate three network features: (1) network clustering; (2) the popularity of central people; and (3) the brokerage of central people.  ... 
doi:10.1016/j.obhdp.2007.12.003 fatcat:3wyya7efvrhmjpuk46wxqm2nfm

Are judgments a form of data clustering? Reexamining contrast effects with the k-means algorithm

Eric Boillaud, Guylaine Molina
2015 Journal of Experimental Psychology: Human Perception and Performance  
Experiments based on systematic control of central tendency indicators in the early 1960s (Parducci, Calfee, Marshall, & Davidson, 1960) demonstrated that manipulating either the midpoint or median of  ...  A data clustering reinterpretation of judgmental relativity is offered, wherein the influence of the initial choice of centroids on judgmental contrast involves two combined frequency and consistency tendencies  ...  In the same way as the range values can be inferred from the observed mean responses based on RFT, the values of the starting centroids could be inferred from the observed clusters based on a backward  ... 
doi:10.1037/a0038896 pmid:25706770 fatcat:tidf2aewcjckrdkulryidwmc6u

A method for relating type of crash to traffic flow characteristics on urban freeways

Thomas F Golob, Wilfred W Recker
2004 Transportation Research Part A: Policy and Practice  
Traffic flow is characterized by central tendencies and variations of traffic flow and speed for three different lanes at the time and place of the crash.  ...  The method involves nonlinear canonical correlation applied together with cluster analyses to identify traffic flow regimes with distinctly different crash taxonomies.  ...  Rather than build upon a foundation of traffic engineering principles and constructs, we have instead viewed the problem as being one essentially of data analysis, and have relied on classical (and emerging  ... 
doi:10.1016/j.tra.2003.08.002 fatcat:lphehbznhbawlob36zhrg6u7em
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