Jyotsna Vadakkanmarveettil2 Apr 2012
1248
Clustering is the process of breaking down a large population that has a high degree of variation and noise into smaller groups with lower variation. It is a popular data mining activity. In a poll conducted by Kdnuggets, clustering was voted as the 3rd most frequently used data mining technique in 2011. Only decision trees and regression got more votes.
Cluster analysis is an important part of an analyst’s arsenal. One needs to master this technique as it is going to be used often in business situations. Some common applications of clustering are –
- Clustering customer behavior data for segmentation
- Clustering transaction data for fraud analysis in financial services
- Clustering call data to identify unusual patterns
- Clustering call-centre data to identify outlier performers (high and low)
Agenda for the clustering session
[youtube]http://www.youtube.com/watch?v=zB181gRwbF8[/youtube]
We recently posted some videos on clustering. Please do let us know if you find them useful.
Introduction to Clustering
[youtube]http://www.youtube.com/watch?v=zqKFH7WNmfE[/youtube]
How does k-means work?
[youtube]http://www.youtube.com/watch?v=aiJ8II94qck[/youtube]
PEOPLE ALSO READ
-
PotpourriJigsaw Academy is the #1 Analytics Training Institute in India
3233
-
Articles“I Would Recommend This Course To Anyone Who’s Interested In Pursuing Business Analytics” – That’s What Our Learners Say! 4684
-
ArticlesChannel Your Inner Business Analyst With The Right Upskilling Program 160
-
ArticlesAI needs Diversity to reduce Gender and Racial Bias! 6992
-
ArticlesWhen Is The Best Time To Build A Career In Data Science You Ask? – We Say NOW! 3543