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"Why use Power BI at all? Or why not just use Power BI? In the first case I can send this out to an R markdown file and have it go straight to html/CSS in a dashboard that is open source and easily edited with a CSS editor. Seems like a chore to load…"
Norberto J. Sanchez commented on Sunaina's blog post Clustering in Power BI using R"Sorry, but I don't understand how Power BI is used in this example."
Clustering in Power BI using R
Here, I've used the famous Iris Flower dataset to show the clustering in Power BI using R. I've used the K-means clustering method to show the different species of Iris flower.About the dataset: The Iris dataset has 5 attributes (Sepal length, Sepal width, Petal width, Petal length, Species). The 3 different species are named as Setosa, Versicolor and Virginica. It is observed that, the Petal Length and Petal Width are similar in…See More
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Sunaina's Blog
Steps to calculate centroids in cluster using K-means clustering algorithm
Posted on March 7, 2018 at 3:30pm 0 Comments 0 Likes
In this blog I will go a bit more in detail about the K-means method and explain how we can calculate the distance between centroid and data points to form a cluster.
Consider the below data set which has the values of the data points on a particular graph.
Table 1:
We can randomly choose two initial points as the centroids and from there we can start calculating distance of each point.
For now we will consider that D2 and D4 are…
ContinueClustering in Power BI using R
Posted on March 7, 2018 at 1:30pm 2 Comments 0 Likes
Here, I've used the famous Iris Flower dataset to show the clustering in Power BI using R. I've used the K-means clustering method to show the different species of Iris flower.
About the dataset: The Iris dataset has 5 attributes (Sepal length, Sepal width, Petal width, Petal length, Species). The 3 different species are named as Setosa,…
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