Comments on: Cluster Analysis Example: Quick Start R Code https://www.datanovia.com/en/lessons/cluster-analysis-example-quick-start-r-code/ Data Mining and Statistics for Decision Support Mon, 07 Sep 2020 08:47:55 +0000 hourly 1 https://wordpress.org/?v=6.8.2 By: gab https://www.datanovia.com/en/lessons/cluster-analysis-example-quick-start-r-code/#comment-20973 Mon, 07 Sep 2020 08:47:55 +0000 https://www.datanovia.com/en/?post_type=dt_lessons&p=7646#comment-20973 I wish I will do the same heatmap but for agglomerative clustering. Is there a way to get this?

]]> By: Hadi https://www.datanovia.com/en/lessons/cluster-analysis-example-quick-start-r-code/#comment-2711 Thu, 14 Nov 2019 19:34:18 +0000 https://www.datanovia.com/en/?post_type=dt_lessons&p=7646#comment-2711 In reply to Serkan Korkmaz.

Same here! I suspect that the dataset got updated after the page was published.

]]> By: Serkan Korkmaz https://www.datanovia.com/en/lessons/cluster-analysis-example-quick-start-r-code/#comment-2498 Fri, 18 Oct 2019 12:55:19 +0000 https://www.datanovia.com/en/?post_type=dt_lessons&p=7646#comment-2498 Hi,

For some reason my code produces two optimal clusters.

data(“USArrests”)
df = USArrests; df = scale(df)

# k-means clustering; ####

# optimal number of clusters;
fviz_nbclust(
df,
kmeans,
method = “gap_stat”
)

I cant seem to find a difference in the code.

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