Clustering: DNA Microarray Example

Hi ML mentors/learners, I want to know how clustering algorithm on DNA microarray could provide insights? In the video on unsupervised learning (Week1), I learned that Clustering algorithms finds patterns such as Type 1, Type 2 etc. However, I don’t know what those patterns would explain given that we haven’t provided the right answers as we do in supervised learning.
Your thoughts will be appreciated. Thanks

Clustering just helps you learn how the data is organized.
It doesn’t tell you what it means.

Then, how is clustering useful if it doesn’t tell what it means?

For example, it may be useful to know that the data is clustered, as opposed to being randomly distributed.

Knowing that there are clusters may help guide your investigation as to why.

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