Portal:Statistik/Charts/Multivariate Statistik
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Name |
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Rang 2024 -09 |
∅ Zugriffe pro Tag 2024 -09 |
Rang 2024 -10 |
∅ Zugriffe pro Tag 2024 -10 |
Anmerkungen / Bearbeiter | ||
---|---|---|---|---|---|---|---|---|
Künstliches neuronales Netz | 323 | 2 | 222 | 1 | 351 | +1 | ||
Maschinelles Lernen | 556 | 1 | 226 | 2 | 271 | -1 | ||
Regressionsanalyse | 252 | 3 | 165 | 3 | 168 | |||
Pivot-Tabelle | 12 | 4 | 147 | 4 | 163 | |||
Payback (Bonusprogramm) | 62 | 5 | 120 | 5 | 150 | |||
Hauptkomponentenanalyse | 84 | 6 | 95 | 6 | 105 | |||
Varianzanalyse | 76 | 7 | 82 | 7 | 83 | |||
Kovarianzmatrix | 91 | 10 | 57 | 8 | 75 | +2 | ||
Beurteilung eines binären Klassifikators | 113 | 8 | 75 | 9 | 75 | -1 | ||
Neuronales Netz | 228 | 17 | 44 | 10 | 66 | +7 | ||
ROC-Kurve | 13 | 11 | 55 | 11 | 64 | |||
K-Means-Algorithmus | 28 | 12 | 55 | 12 | 58 | |||
Euklidischer Abstand | 90 | 9 | 61 | 13 | 57 | -4 | ||
Random Forest | 16 | 13 | 54 | 14 | 56 | -1 | ||
Zeitreihenanalyse | 247 | 16 | 44 | 15 | 53 | +1 | ||
Support Vector Machine | 49 | 18 | 41 | 16 | 52 | +2 | ||
Clusteranalyse | 134 | 14 | 52 | 17 | 50 | -3 | ||
Data-Mining | 217 | 15 | 48 | 18 | 46 | -3 | ||
Entscheidungsbaum | 83 | 19 | 40 | 19 | 45 | |||
Multivariate Verfahren | 89 | 21 | 32 | 20 | 39 | +1 | ||
Process-Mining | 10 | 22 | 30 | 21 | 36 | +1 | ||
Mustererkennung | 250 | 23 | 29 | 22 | 33 | +1 | ||
Cronbachsches Alpha | 7 | 20 | 34 | 23 | 33 | -3 | ||
KNIME | 15 | 24 | 29 | 24 | 27 | |||
Rangkorrelationskoeffizient | 17 | 30 | 22 | 25 | 26 | +5 | ||
Faktorenanalyse | 123 | 29 | 22 | 26 | 26 | +3 | ||
Strukturgleichungsmodell | 38 | 32 | 21 | 27 | 25 | +5 | ||
Klassifizierung | 336 | 27 | 24 | 28 | 25 | -1 | ||
Nächste-Nachbarn-Klassifikation | 17 | 25 | 27 | 29 | 22 | -4 | ||
XGBoost | 4 | 28 | 23 | 30 | 21 | -2 | ||
DBSCAN | 15 | 31 | 21 | 31 | 20 | |||
Power Query | 0 | 38 | 12 | 32 | 19 | +6 | ||
Conjoint-Analyse | 35 | 35 | 14 | 33 | 19 | +2 | ||
Kosinus-Ähnlichkeit | 8 | 26 | 26 | 34 | 17 | -8 | ||
Explorative Datenanalyse | 30 | 33 | 16 | 35 | 16 | -2 | ||
Hierarchische Clusteranalyse | 27 | 34 | 16 | 36 | 15 | -2 | ||
Unüberwachtes Lernen | 20 | 36 | 14 | 37 | 12 | -1 | ||
Mahalanobis-Abstand | 11 | 37 | 12 | 38 | 11 | -1 | ||
Sentiment Detection | 7 | 42 | 9 | 39 | 11 | +3 | ||
Kernel-Methode | 5 | 43 | 8 | 40 | 9 | +3 | ||
P-Hacking | 14 | 40 | 10 | 41 | 9 | -1 | ||
Interaktionseffekt | 9 | 47 | 7 | 42 | 9 | +5 | ||
EM-Algorithmus | 22 | 48 | 7 | 43 | 9 | +5 | ||
Trennschärfe eines Items | 10 | 39 | 10 | 44 | 9 | -5 | ||
Kollaboratives Filtern | 4 | 81 | 2 | 45 | 8 | +36 | ||
Text Mining | 40 | 49 | 6 | 46 | 8 | +3 | ||
Ereigniszeitanalyse | 27 | 44 | 8 | 47 | 8 | -3 | ||
Perkolationstheorie | 65 | 54 | 6 | 48 | 7 | +6 | ||
Verzerrung-Varianz-Dilemma | 9 | 45 | 7 | 49 | 7 | -4 | ||
Rasch-Modell | 19 | 66 | 3 | 50 | 7 | +16 |