Portal:Statistik/Charts/Multivariate Statistik
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Name |
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Rang 2024 -10 |
∅ Zugriffe pro Tag 2024 -10 |
Rang 2024 -11 |
∅ Zugriffe pro Tag 2024 -11 |
Anmerkungen / Bearbeiter | ||
---|---|---|---|---|---|---|---|---|
Künstliches neuronales Netz | 324 | 1 | 351 | 1 | 263 | |||
Maschinelles Lernen | 563 | 2 | 271 | 2 | 255 | |||
Regressionsanalyse | 254 | 3 | 168 | 3 | 190 | |||
Payback (Bonusprogramm) | 63 | 5 | 150 | 4 | 178 | +1 | ||
Pivot-Tabelle | 12 | 4 | 163 | 5 | 168 | -1 | ||
Hauptkomponentenanalyse | 84 | 6 | 105 | 6 | 111 | |||
Varianzanalyse | 76 | 7 | 83 | 7 | 98 | |||
Kovarianzmatrix | 91 | 8 | 75 | 8 | 94 | |||
Beurteilung eines binären Klassifikators | 114 | 9 | 75 | 9 | 88 | |||
Euklidischer Abstand | 90 | 13 | 57 | 10 | 75 | +3 | ||
Random Forest | 17 | 14 | 56 | 11 | 70 | +3 | ||
ROC-Kurve | 13 | 11 | 64 | 12 | 69 | -1 | ||
K-Means-Algorithmus | 29 | 12 | 58 | 13 | 62 | -1 | ||
Entscheidungsbaum | 85 | 19 | 45 | 14 | 59 | +5 | ||
Support Vector Machine | 50 | 16 | 52 | 15 | 54 | +1 | ||
Clusteranalyse | 135 | 17 | 50 | 16 | 54 | +1 | ||
Neuronales Netz | 229 | 10 | 66 | 17 | 51 | -7 | ||
Zeitreihenanalyse | 246 | 15 | 53 | 18 | 50 | -3 | ||
Cronbachsches Alpha | 7 | 23 | 33 | 19 | 49 | +4 | ||
Data-Mining | 216 | 18 | 46 | 20 | 44 | -2 | ||
Multivariate Verfahren | 89 | 20 | 39 | 21 | 40 | -1 | ||
Rangkorrelationskoeffizient | 17 | 25 | 26 | 22 | 37 | +3 | ||
Process-Mining | 10 | 21 | 36 | 23 | 35 | -2 | ||
Strukturgleichungsmodell | 38 | 27 | 25 | 24 | 31 | +3 | ||
Faktorenanalyse | 123 | 26 | 26 | 25 | 30 | +1 | ||
KNIME | 15 | 24 | 27 | 26 | 28 | -2 | ||
Klassifizierung | 337 | 28 | 25 | 27 | 27 | +1 | ||
Mustererkennung | 254 | 22 | 33 | 28 | 25 | -6 | ||
XGBoost | 4 | 30 | 21 | 29 | 25 | +1 | ||
DBSCAN | 15 | 31 | 20 | 30 | 24 | +1 | ||
Nächste-Nachbarn-Klassifikation | 17 | 29 | 22 | 31 | 23 | -2 | ||
Kosinus-Ähnlichkeit | 8 | 34 | 17 | 32 | 23 | +2 | ||
Conjoint-Analyse | 35 | 33 | 19 | 33 | 21 | |||
Power Query | 0 | 32 | 19 | 34 | 19 | -2 | ||
Explorative Datenanalyse | 31 | 35 | 16 | 35 | 19 | |||
Hierarchische Clusteranalyse | 27 | 36 | 15 | 36 | 18 | |||
Trennschärfe eines Items | 10 | 44 | 9 | 37 | 15 | +7 | ||
Sentiment Detection | 7 | 39 | 11 | 38 | 13 | +1 | ||
Mahalanobis-Abstand | 11 | 38 | 11 | 39 | 12 | -1 | ||
Interaktionseffekt | 9 | 42 | 9 | 40 | 12 | +2 | ||
Silhouettenkoeffizient | 3 | 56 | 6 | 41 | 12 | +15 | ||
Kernel-Methode | 5 | 40 | 9 | 42 | 12 | -2 | ||
Unüberwachtes Lernen | 20 | 37 | 12 | 43 | 12 | -6 | ||
Kovarianzanalyse (Statistik) | 6 | 51 | 7 | 44 | 12 | +7 | ||
Text Mining | 40 | 46 | 8 | 45 | 11 | +1 | ||
Verzerrung-Varianz-Dilemma | 9 | 49 | 7 | 46 | 11 | +3 | ||
P-Hacking | 15 | 41 | 9 | 47 | 11 | -6 | ||
Rasch-Modell | 19 | 50 | 7 | 48 | 10 | +2 | ||
EM-Algorithmus | 22 | 43 | 9 | 49 | 9 | -6 | ||
Perkolationstheorie | 65 | 48 | 7 | 50 | 9 | -2 |