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Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures [article]

Martijn Gösgens, Alexey Tikhonov, Liudmila Prokhorenkova
2021 arXiv   pre-print
for an extensive list of validation indices.  ...  Many cluster similarity indices are used to evaluate clustering algorithms, and choosing the best one for a particular task remains an open problem.  ...  Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures The code is available at  ... 
arXiv:1911.04773v7 fatcat:fiqtqwly7vhqzcsoapx33ioesm

What do fragility indices measure?

Sebastian Ziaja
2012 Zeitschrift für Vergleichende Politikwissenschaft  
This article examines nine fragility indices. Their content validity is assessed by reviewing conceptualization, measurement and aggregation methods.  ...  Both the conceptual and the statistical analysis support the hypothesis that there is a group of "holistic" fragility indices which are of little use for investigating the causes and consequences of fragility  ...  It is assessed whether indices that were most similar to each other in the conceptual analysis are also similar to each other in the statistical analysis, and whether indices that should measure different  ... 
doi:10.1007/s12286-012-0123-8 fatcat:gs666tlbg5gbnpnaly4zub5e6a

Seizure Control as an Indicator of Therapeutic Usefulness

Samuel Wiebe
2000 Canadian Journal of Neurological Sciences  
The question of who should measure seizure outcome has to do with validity of reporting.  ...  That inroads are being made into validating existing measurement tools, indicates that methodological bridges can be built to improve estimates of surgical effectiveness in practice and research.  ...  Define how many different types of seizure occur (e.g. aura, complex partial, generalized convulsion ...). Call these type 1-3 arbitrarily. 2. Apply questions 2-8 to each seizure type separately.  ... 
doi:10.1017/s0317167100000743 pmid:10830335 fatcat:mksxjgdly5gppltiah4vle4gly

Online Cluster Validity Indices for Streaming Data [article]

Masud Moshtaghi, James C. Bezdek, Sarah M. Erfani, Christopher Leckie, James Bailey
2018 arXiv   pre-print
An important part of cluster analysis is validating the quality of computationally obtained clusters.  ...  Cluster analysis is used to explore structure in unlabeled data sets in a wide range of applications.  ...  We discussed how these indices can be used to interpret the performance of online clustering algorithms with respect to the appearance of new clusters and how the clustering algorithm reacts to evolving  ... 
arXiv:1801.02937v1 fatcat:jawy6ppnhrfj7gjtir7xbp4myi

Urban health indicators and indices—current status

Richard Rothenberg, Christine Stauber, Scott Weaver, Dajun Dai, Amit Prasad, Megumi Kano
2015 BMC Public Health  
Despite the plethora of indicators, these compilations have striking similarities in the domains from which the indicators are drawn-an unappreciated concordance among the major collections.  ...  Medline) and web searches to identify compilations of health indicators and health metrics.  ...  The authors would like to acknowledge the participation of Jeremy Crampton, PhD, in the initial versions of this work.  ... 
doi:10.1186/s12889-015-1827-x pmid:25981640 pmcid:PMC4491866 fatcat:ng5lo5ltxvh6nigd7ygwguo5vi

Can the Number of Clusters Be Determined by External Indices?

Mohammad Rezaei, Pasi Franti
2020 IEEE Access  
The idea is to measure the stability of clustering results using an external validity index when adding randomness to the clustering process.  ...  We will discuss how to add randomness to the process, how to perform the cross-validation, and which external index to use.  ...  Compactness measures how similar the objects are within the same cluster, and separation measures how dissimilar the clusters are.  ... 
doi:10.1109/access.2020.2993295 fatcat:m2cazal4dvch5d75p6auvtu7wu

Impact of Load Demand Dataset Characteristics on Clustering Validation Indices [article]

Mayank Jain, Mukta Jain, Tarek AlSkaif, Soumyabrata Dev
2021 arXiv   pre-print
In order to identify the best clustering results, various cluster validation indices (CVIs) have been proposed in the literature.  ...  Responding to the problem, this paper shows how the recommendations of validation indices are influenced by different data characteristics that might be present in a typical residential load demand dataset  ...  In the absence of ground truth labels of underlying clusters, clustering validation indices (CVI) have been defined in the literature to validate the clustering results.  ... 
arXiv:2108.01433v1 fatcat:3ffj55ltrvdgxhopuifkdn6z4u

Towards a standard methodology to evaluate internal cluster validity indices

Ibai Gurrutxaga, Javier Muguerza, Olatz Arbelaitz, Jesús M. Pérez, José I. Martín
2011 Pattern Recognition Letters  
The evaluation and comparison of internal cluster validity indices is a critical problem in the clustering area.  ...  We compared 7 internal cluster validity indices with both methodologies and concluded that the results obtained with the proposed methodology are more representative of the actual capabilities of the compared  ...  The results obtained with the new methodology and the four complementary similarity measures are shown in Table B .1 (Rand), Table B .2 (Jaccard), Table B .3 (Fowlkes-Mallows) and Table B .4 (Modified  ... 
doi:10.1016/j.patrec.2010.11.006 fatcat:pksyzdbtyvcp7lhiglvudu4uh4

Self-Informant Agreement in Well-Being Ratings: A Meta-Analysis

Leann Schneider, Ulrich Schimmack
2009 Social Indicators Research  
The implications for the validity of self-ratings of well-being as indicators of well-being are discussed.  ...  (multiple [ single), and number of items in the measure (multiple [ single).  ...  Acknowledgments We thank Simone Walker, Naoki Nakazato, and the members of the well-being laboratory at the University of Toronto Mississauga for their valuable comments.  ... 
doi:10.1007/s11205-009-9440-y fatcat:tjorovxa7rbr3miqkamq23mqfa

Data Quality and Indicators

Jorge Matute, A. P. Gupta
2007 American Journal of Agricultural and Biological Science  
It is shown how measurements from the components of multidisciplinary systems can be combined to form complex indicators and a specific example is given using Z-scores and dot charts.  ...  Finally the accumulated effect of bias in the individual component measurements upon the combined indicator is shown.  ...  Indicators and bias: Indicators and bias have been described in sections 2 and 3, but how does bias affect The first example shows how a systematic error, mainly coming from the field, could change the  ... 
doi:10.3844/ajabssp.2007.23.30 fatcat:7gyos43vonadzcbi7wxtgkduxq

An extensive comparative study of cluster validity indices

Olatz Arbelaitz, Ibai Gurrutxaga, Javier Muguerza, Jesús M. Pérez, Iñigo Perona
2013 Pattern Recognition  
The most used approaches for cluster validation are based on internal cluster validity indices.  ...  The validation of the results obtained by clustering algorithms is a fundamental part of the clustering process.  ...  Acknowledgements This work was funded by the University of the Basque Country, general funding for research groups (Aldapa, GIU10/02), by the Science and Education Department of the Spanish Government  ... 
doi:10.1016/j.patcog.2012.07.021 fatcat:xz3pyzanxzellnm7vt2e73rvqy

Quality indices for (practical) clustering evaluation

Margarida G.M.S. Cardoso, André Ponce de Leon F. de Carvalho
2009 Intelligent Data Analysis  
In fact, it is easy to propose indices of cluster validity.  ...  A similar trend -attempting to derive validation indices thresholds -seems to be occurring in the use of indices of agreement (Rand index, [36] , for example) for evaluating the robustness of clustering  ... 
doi:10.3233/ida-2009-0390 fatcat:ctoq6ypijzcbrfgdzvmsvx236i

Ground Truth Bias in External Cluster Validity Indices [article]

Yang Lei, James C. Bezdek, Simone Romano, Nguyen Xuan Vinh, Jeffrey Chan, James Bailey
2016 arXiv   pre-print
To the best of our knowledge, this is the first extensive study of such a property for external cluster validity indices.  ...  For example, NCinc bias in the RI can be changed to NCdec bias by skewing the distribution of clusters in the ground truth partition.  ...  We believe this to be the first systematic study of the effects of ground truth on the NC bias behaviour of external cluster validity indices. We have termed this GT bias.  ... 
arXiv:1606.05596v1 fatcat:e5tzz6lr3fbcpcdsjhg3i2y4be

Validation of Multilevel Constructs: Validation Methods and Empirical Findings for the EDI

Barry Forer, Bruno D. Zumbo
2011 Social Indicators Research  
and techniques to the multilevel construct validation of a widely-used school readiness measure called the Early Development Instrument (EDI; Janus and Offord 2007).  ...  Validation evidence is presented regarding the multilevel covariance structure of the EDI, the appropriateness of aggregation to classroom and neighbourhood levels, and the effects of teacher and classroom  ...  One important future task would be to conduct a systematic analysis of the items in each of the scales and subscales of the EDI, to establish whether each scale or subscale score is an index or a measure  ... 
doi:10.1007/s11205-011-9844-3 fatcat:5fdi7z5wuzef3gtaka5gbdpjb4

Adjustment of nursing home quality indicators

Richard N Jones, John P Hirdes, Jeffrey W Poss, Maureen Kelly, Katharine Berg, Brant E Fries, John N Morris
2010 BMC Health Services Research  
Threats to the validity of the measurement of presumed quality of care include baseline resident health and functional status, pattern of comorbidities, and facility case mix.  ...  Conclusions: Given the comprehensive approach and the positive findings to date, research using the new quality indicators is warranted to provide further evidence of their validity and utility and to  ...  Acknowledgements Work on this project was supported in part by a contract from the Canadian Institute for Health Information (JNM, Principal Investigator) and the National Institutes of Health (R01NR009071  ... 
doi:10.1186/1472-6963-10-96 pmid:20398304 pmcid:PMC2881673 fatcat:q5so2zif3rfyhcsiis7oo32suy
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