Our team were to analyzed a set of data in excel format turning it into a good informative data
I was assigned to do clustering K Means to the boston.csv
Clustering is used to identify data objects that are similar to one another. The similarity can be decided based on a number of factors like purchase behavior, responsiveness to certain actions, geographical locations and so on. For example, an insurance company can cluster its customers based on age, residence, income etc. This group information will be helpful to understand the customers better and hence provide better customized services.
credit to my team: Fikri, Farhan, Izzat
A video on KNIME tools usage : Data Mining Project - KNIME