Downloads provided by UsageCounts
First public release Features: different aggregation methods implemented (averaging, k-mean, exact k-medoid, hierarchical), which are based on scikit-learn or pyomo flexible integration of extreme periods as own cluster centers weighting for the case of multidimensional time-series to represent their relevance
| 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 | 5 | |
| downloads | 1 |

Views provided by UsageCounts
Downloads provided by UsageCounts