From the course: Data Science Foundations: Fundamentals

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Clustering techniques

Clustering techniques

From the course: Data Science Foundations: Fundamentals

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Clustering techniques

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- [Instructor] Everybody in a crowd is their own person. Each person is a unique individual, and perhaps in an ideal world, your organization would acknowledge that and interact with each person in a tailored and unique way. But for right now, we face a lot of limitations and there are plenty of times when it's helpful to create groups or clusters of people that might be similar in important ways. These can include marketing segments where you might give the same ads or the same offers to a group of people or developing curricula for exceptional students like gifted and talented or artistic students, or maybe developing treatments for similar medical groups. Now, when you look at clusters in the United States, it's easy to start with each state represented separately, but it's really common practice to group these states into say, four large regions of geographically adjacent states like the south, the west, the northeast, and the midwest. That makes a lot of sense if you're actually…

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