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Εstimate and return the necessary parameters for cluster analysis visualizations, used in OpenBudgets.eu. It involves a set of techniques and algorithms used to find and divide into groups the Budget data of municipalities across Europe, described by the OpenBudgets.eu data model. The available clustering algorithms are hierarchical, kmeans from R base, pam, clara, fuzzy from cluster package and model based algorithms from mclust package. It can be used to find the appropriate clustering algorithm and/or the appropriate clustering number of the input data according to the internal and stability measures from clValid package. This package can generally be used to estimate clustering parameters, extract and convert them to JSON format and use them as input in a different graphical interface and also can be used in data that are not described by the OpenBudgets.eu data model. You can see detailed information here.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 3 |

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