Variations on the Clustering Algorithm BIRCH

Lorbeer, Boris; Kosareva, Ana; Deva, Bersant; Softić, Dženan; Ruppel, Peter; Küpper, Axel

doi:10.1016/j.bdr.2017.09.002

Cited by 99 publications

(31 citation statements)

References 5 publications

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“…The challenge when applying the hierarchical clustering methods is determining the proper distance measure. In our work, we have tested different distance measures, but there are alternative methods like A-BIRCH [35]. All of the used methods gave very similar results, so we chose the k-means method.…”

Section: Resultsmentioning

confidence: 99%

Comparative Evaluation and Ranking of the European Countries Based on the Interdependence between Human Development and Internal Security Indicators

et al. 2019

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New solutions and techniques for developing country policies are used under real conditions. The present study aims to propose a new approach for evaluating and ranking the European countries by using the interrelation between two groups of criteria, associated with the Human Development Index (HDI) and the World Internal Security and Police Index (WISPI). HDI and its components rank countries by value and detail the values of the components of longevity, education and income per capita. WISPI focuses on the effective rendering of security services and the outcome of rendered services. The priority of criteria is determined in the descending order of their correlation values with other group criteria. The criteria weights are set simultaneously for both groups by applying the weight balancing method WEBIRA. The methodology based on minimising sum of squared differences of the weighted sums within groups is used. Finally, the generalised criteria measuring the level of the country are calculated using the SAW method. Cluster analysis of the countries was carried out and compared with MCDM results. The study revealed that WEBIRA ranking of countries is basically consistent with the results of cluster analysis. The proposed methodology can be applied to develop the management policy of the countries, as well as to their evaluation and ranking by using various indices, criteria and procedures. The results of this research can also be used to reveal national policy choices, to point out government policy priorities.

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Section: Resultsmentioning

confidence: 99%

Comparative Evaluation and Ranking of the European Countries Based on the Interdependence between Human Development and Internal Security Indicators

et al. 2019

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“…BIRCH allowed us to determine the number of clusters based on the data (rather than specifying a fixed number of clusters) and the size of each cluster for each temporal cross-section. We ran BIRCH without specifying a number of clusters, thus using the subclusters returned by BIRCH before the final, global clustering step when the user-specified threshold value is reached (i.e., the so-called tree-BIRCH method 71 ). We adjusted this threshold empirically for each category of variables.…”

Section: Methodsmentioning

confidence: 99%

A century of decoupling size and structure of urban spaces in the United States

Uhl

Connor

Leyk

et al. 2021

Commun Earth Environ

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Most cities in the United States of America are thought to have followed similar development trajectories to evolve into their present form. However, data on spatial development of cities are limited prior to 1970. Here we leverage a compilation of high-resolution spatial land use and building data to examine the evolving size and form (shape and structure) of US metropolitan areas since the early twentieth century. Our analysis of building patterns over 100 years reveals strong regularities in the development of the size and density of cities and their surroundings, regardless of timing or location of development. At the same time, we find that trajectories regarding shape and structure are harder to codify and more complex. We conclude that these discrepant developments of urban size- and form-related characteristics are driven, in part, by the long-term decoupling of these two sets of attributes over time.

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“…The models of these algorithms are not trained on previously classified data, such that the algorithms are bound to find patterns within the processed data. Wellknown algorithms in the context of clustering are for example K-Means (Shahrivari and Jalili 2016), DBScan (Junior and da Silva 2017), Self-Organizing Maps (SOM) (Valle et al 2017), BIRCH (Lorbeer et al 2018) and Topic model (Gong et al 2018). Another subfield that is often regarded as part of unsupervised learning is dimensionality reduction.…”

Section: Principal Component Analysismentioning

confidence: 99%

Machine learning in information systems - a bibliographic review and open research issues

2021

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Artificial Intelligence (AI) and Machine Learning (ML) are currently hot topics in industry and business practice, while management-oriented research disciplines seem reluctant to adopt these sophisticated data analytics methods as research instruments. Even the Information Systems (IS) discipline with its close connections to Computer Science seems to be conservative when conducting empirical research endeavors. To assess the magnitude of the problem and to understand its causes, we conducted a bibliographic review on publications in high-level IS journals. We reviewed 1,838 articles that matched corresponding keyword-queries in journals from the AIS senior scholar basket, Electronic Markets and Decision Support Systems (Ranked B). In addition, we conducted a survey among IS researchers (N = 110). Based on the findings from our sample we evaluate different potential causes that could explain why ML methods are rather underrepresented in top-tier journals and discuss how the IS discipline could successfully incorporate ML methods in research undertakings.

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Variations on the Clustering Algorithm BIRCH

Cited by 99 publications

References 5 publications

Comparative Evaluation and Ranking of the European Countries Based on the Interdependence between Human Development and Internal Security Indicators

Comparative Evaluation and Ranking of the European Countries Based on the Interdependence between Human Development and Internal Security Indicators

A century of decoupling size and structure of urban spaces in the United States

Machine learning in information systems - a bibliographic review and open research issues

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