Visual Interpretation of Data Flashcards

1
Q

Was sind die Limitation von statistischen Verfahren, um Outlier zu finden?

A
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2
Q

Wie detektiert man Outlier anhand von Regression?

A
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3
Q

Wie funktioniert das Detektieren von Outliern mit der Nearest Neighbour Methode?

A

A sample si in a data set S is an outlier if at least a fraction p of the samples in S lies at a distance greater than d from si

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4
Q

Wie kann man die Distanz zwischen zwei Vektoren mit nominalen Attributen berechnen?

A
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5
Q

Wie kann man die Distanz von binären Attributen berechnen?

asymmetric and symmetric

A
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6
Q

Was ist der Jaccard coefficient

A

misst die similarity for
asymmetric binary variables

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7
Q

Was ist die Minkowski distance?

A
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8
Q

Welche Eigenschaften hat eine metrische Distanz?

A
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9
Q

Welchen Wert hat die supremum distanz?

A

This is the maximum difference between any component (attribute)
of the vectors

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10
Q

Wie berechnet man die Cosine Similarity?

A
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11
Q

Was betrachtet die Cosine similarity im Vergleich zu anderen Methoden?

A

Cosine similarity considers vector orientations
but not vector lengths

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