Review the clustering tools for ML and explore the principles and purpose of clustering.
- [Instructor] Clustering is one of the most … flexible techniques in the machine learning toolbox. … It's easy to apply, and requires no sample data … or predetermined classifications. … As a result it's often used as a starting point … to organize data sets, or as a way to sort … continuous data into useful chunks. … For example, grouping customers … by preference to target marketing. … In this video, we will look at two example … clustering problems to see how simple the technique is … to set up, and how careful data input design … can facilitate more sophisticated clustering. … I have the exercise file open already. … See in Grasshopper, I have 2D clustered points. … Roughly grouped into three circular areas. … In this first example, we're going to use … the gaussian mixture component. … So I'll go to LunchBox, machine learning, gaussian mixture. … Look at the component, it has an input, … which is the original data, the points, … the number of components, which is how many … groups to create in a random seed. …
- What is generative design?
- Limitations of generative design
- Strengths and limitations of genetic/evolutional solvers
- How physics solvers work
- Testing and adjusting goals
- Working with machine learning tools
- Design requirements and diagramming
- Optimizing with Galapagos
Skill Level Intermediate
Grasshopper: Architectural Prototypingwith Walter Zesk2h 28m Intermediate
Learning Algorithmic Design with Grasshopperwith Chris Reilly3h 14m Intermediate
1. What Is Generative Design?
2. Genetic/Evolutional Solver Example
3. Physics Solver Example
4. Machine Learning Solver Example
5. Applying Generative Design
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