K-Means Clustering using Spotfire

Posted on Updated on

To perform K-Means clustering in Spotfire, we need an appropriate line chart on which the clustering calculation could be performed.

Below we are using a simple line chart with Sales on Y-axis (a single column and not a custom expression with multiple columns) and Order Date on X-axis.

K-Means_Cluster_1

The Euclidean distance is used to perform the clustering with maximum number of clusters to be 9.

K-Means_3

Here is a segmented view of similar product sub-categories which fall in clusters depending on their sales performance.

K-Means_Cluster_2

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s