Understanding Monotonic Partitioning: Explanation and Example

  • Thread starter Lotus
  • Start date
In summary, the conversation is about someone struggling to understand HMP and monotonic partitioning. They are asking for clarification and someone mentions pp-folios as a resource for understanding the problem.
  • #1
Lotus
1
0
Hi, this is going to sound totally and completely out there to be asking you guys, but I am lost on if i have the correct grasp of this. HMP is confusing me, and i realize that it is not the most commonly used thing but i would like to grasp it at least. If anyone could explain it better to me please help.
The monotonic partitioning gets me horribly too and I am not sure what exactly makes the equations monotonic. I am assuming what they ment by the partitioning within is in a case like this, excuse if this example makes no sense. I can't make the signs with my computer. cl(a) = {(a,2a) : x subset R} cl(a) = cl(R)

is the (a,2a) the partitioning within?
 
Physics news on Phys.org

1. What is monotonic partitioning?

Monotonic partitioning is a mathematical approach used to divide a set of data into smaller subsets based on a chosen criterion. It is commonly used in data analysis and machine learning to simplify complex datasets and improve the efficiency of algorithms.

2. How does monotonic partitioning work?

Monotonic partitioning works by dividing a set of data into two or more subsets based on a chosen criterion, such as minimum or maximum values. The subsets are then further divided until a desired level of granularity is achieved.

3. What are the advantages of monotonic partitioning?

Monotonic partitioning can help to simplify complex datasets and make them easier to analyze. It can also improve the efficiency of algorithms by reducing the amount of data that needs to be processed.

4. What are the limitations of monotonic partitioning?

Monotonic partitioning can only be used on datasets that have a clear monotonic relationship between the data points. It is also important to choose the right criterion for partitioning, as this can greatly affect the results.

5. How is monotonic partitioning used in real-world applications?

Monotonic partitioning is commonly used in machine learning and data analysis tasks, such as feature selection, anomaly detection, and data clustering. It is also used in industries such as finance, healthcare, and marketing to analyze and organize large datasets.

Similar threads

  • Advanced Physics Homework Help
Replies
4
Views
2K
  • Linear and Abstract Algebra
Replies
3
Views
3K
  • Calculus and Beyond Homework Help
Replies
2
Views
1K
  • STEM Academic Advising
Replies
14
Views
1K
  • Calculus
Replies
2
Views
997
Replies
5
Views
845
  • Linear and Abstract Algebra
Replies
4
Views
3K
  • Special and General Relativity
3
Replies
89
Views
4K
  • Introductory Physics Homework Help
Replies
11
Views
623
  • Linear and Abstract Algebra
Replies
7
Views
8K
Back
Top