03a - Clustering Flashcards

1
Q

Was ist Clustering?

A

2

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2
Q

Für was wird Clustering oft benötigt?

A

2

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3
Q

Was ist die generelle Vorgehensweise, um Daten zu clustern?

A

3

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4
Q

Welche Datenstrukturen werden beim Datenclustering verwendet?

A

3

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5
Q

Wie funktioniert das Konzept des Cluster Centroid im Clustering?

A

4

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6
Q

Wie wird die Distanz zwischen 2 Punkten beim Clustering gemessen?

A

4

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7
Q

Wie funktioniert das distance based Clustering?

A

5

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8
Q

Auf welche Probleme stoßt man beim Distance Based Clustering?

A

5

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9
Q

Was gilt bei Clustering Problemen generell?

A

6

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10
Q

Was sind typische Ziele beim Clustering?

A

6

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11
Q

Ist es leicht die Qualität von Clustern zu messen?

A

7,8,9,10

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12
Q

Gibt es Clustering Quality Metrics?

A

11

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13
Q

Welche Evaluierungsarten gibt es beim Clustering?

A

11

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14
Q

Welche Internal Quality Measures gibt es?

A

11

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15
Q

Welche External Quality Measures gibt es?

A

11

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16
Q

Wie funktioniert der Silhouette Index?

A

12-13

17
Q

Wie funktioniert der Davies-Boulding Index?

A

14-16

18
Q

Wie funktioniert der Dunn Index?

A

17-19

19
Q

Wie funktioniert der V-Score?

A

20-23