score_kmeans: Score a Kmeans Clustering Based on TF-IDF scores
In nateaff/legolda: Color Topic Models of the Lego Dat Set
Description
Usage
Arguments
Value
Description
Generate a kmeans clustering for each of n_topics and
score those clusterings using the scores in
clues::adjustedRand function
Usage
1
score_kmeans(n_topics, from_cache = FALSE)
Arguments
A
list of integers for each value k to cluster
param
from_cache Logical : Return cached values if true
Value
A dataframe with columns k, score, metric
nateaff/legolda documentation built on May 18, 2019, 10:15 a.m.
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Description Usage Arguments Value
Description
Generate a kmeans clustering for each of n_topics and
score those clusterings using the scores in
clues::adjustedRand function
Usage
1 | score_kmeans(n_topics, from_cache = FALSE)
|
Arguments
A |
list of integers for each value k to cluster |
param |
from_cache Logical : Return cached values if true |
Value
A dataframe with columns k, score, metric
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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