Question
The K-means clustering algortihm requires a defined *** metric, a fixed number of ***, and an initial guess as to the cluster ***.
Answer
The K-means clustering algortihm requires a defined distance metric, a fixed number of clusters, and an initial guess as to the cluster centroids.
Question
The K-means clustering algortihm requires a defined *** metric, a fixed number of ***, and an initial guess as to the cluster ***.
Question
The K-means clustering algortihm requires a defined *** metric, a fixed number of ***, and an initial guess as to the cluster ***.
Answer
The K-means clustering algortihm requires a defined distance metric, a fixed number of clusters, and an initial guess as to the cluster centroids.
If you want to change selection, open document below and click on "Move attachment"
pdf
owner:
aelizzybeth - (no access) - Exploratory_Data_Analysis_with_R_Peng.pdf, p118
Summary
status | not learned | | measured difficulty | 37% [default] | | last interval [days] | |
---|
repetition number in this series | 0 | | memorised on | | | scheduled repetition | |
---|
scheduled repetition interval | | | last repetition or drill | | | | |
---|
Details
No repetitions