Archives for hierarchical clustering
UPGMA is one of the most widespread hierarchical clustering algorithms because it is easy to understand and fast in practice.
The post How To Do Hierarchical Clustering Using UPGMA appeared first on Analytics India Magazine.
Identification of customers based on their choices and other behaviors is an important strategy in any organization. This identification may help in approaching customers with specific offers and products. An organization with a large number of customers may experience difficulty in identifying and placing into a record each customer individually. A huge amount of data…
The post Comparison Of K-Means & Hierarchical Clustering In Customer Segmentation appeared first on Analytics India Magazine.
Cluster analysis is the statistical method of grouping data into subsets that have application in the context of a selective problem. This technique is widely used to club data/observations in the right segments so that data within any segment are similar while data across segments are different. However, defining “similar” or “different” observations is a…
The post Clustering Techniques Every Data Science Beginner Should Swear By appeared first on Analytics India Magazine.