Tag: clustering

Find the Best, Worst, and Middle Values Using Simple Clustering with Power BI Scatter Chart

Posted on by Reza Rad

Machine Learning and AI can be advanced areas, however, there are some easy to use methods for that especially in the Power Platform and Power BI. Leila has written tons of blog articles about AI in Power Platform. However, as a visualization point of view, I want to show you a feature that you might Read more about Find the Best, Worst, and Middle Values Using Simple Clustering with Power BI Scatter Chart[…]

Azure ML Part 6: A Machine Learning Prediction scenario (3)

Posted on by Leila Etaati

In previous posts (Part 4 and Part 5), I have explained some of the main components of Azure ML via a prediction scenario. In post one the process of data cleaning (using SQL Transformation, Cleaning Missing Value, Select specific Columns, and Edit Meta Data)  has been explained. and in the second Post, I have explained how to apply Read more about Azure ML Part 6: A Machine Learning Prediction scenario (3)[…]

Identifying Number of Cluster in K-mean Algorithm in Power BI: Part 7

Posted on by Leila Etaati

I have explained the main concept behind the Clustering algorithm in Post 5 and also I have explained how to do cluster analysis in Power BI in Part 6. In this post, I will explain how identify the best number of cluster for doing cluster analysis by looking on the “elbow chart” K-Mean clusters the data Read more about Identifying Number of Cluster in K-mean Algorithm in Power BI: Part 7[…]

Clustering Concepts , writing R codes inside Power BI: Part 5

Posted on by Leila Etaati

Sometimes we just need to see the natural trend and behaviour of data without doing any predictions. we just want to check how our business data can be naturally grouped. According to the Wikipedia , Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) Read more about Clustering Concepts , writing R codes inside Power BI: Part 5[…]