August 2015
Beginner to intermediate
294 pages
5h 20m
English
Content preview from Mastering Python for Data ScienceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 10. Applying Segmentation with k-means Clustering
Clustering comes under unsupervised learning and helps in segmenting an instance into groups in such a way that instances in the group have similar characteristics. Amazon might want to understand who their high-value, medium-value and low-value users are. In the simplest form, we can determine this by bucketing the total transaction amount of each user into three buckets. The high value customers will come under the top 20 percentile bucket, the medium value will come under the 20th to 80th percentile bucket, and the bottom 20 percentile will contain the low-value customers. Amazon will know who their high value customers are through this and ensure that they are taken care of in case ...
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