Hello,
I am working on a K-means project and need a little help for applying this to new data. Here is the scenario:
I have a historical file with many records. Each record has its original data and has been supplemented with a few attributes and results data. I compiled the result fields to one field which is the weighted score of my record on how well it performed. I will be taking the supplemented attributes and running a k-means to split these records up into 10 different clusters. I analyzed each cluster and found the average weighted score. A higher average weighted score means that group of particular records did better on average overall. Once I get new data in I will not have results data and I will be able to add those supplemental fields. How do I assign these new records to the clusters I have previously assigned? I'd like to score these new records so I can determine which are the "best" records.
