pythoncluster-analysismetricsunsupervised-learning
How to interprete the Python Clustering scores?
I try to use Agglomerative Clustering to cluster some Data but i dont know which number of clusters are perfect. Here are my results:
The Database consists out of 65 Classes to be recognize. Gini Value=0.265.
- What should be choosen for number of clusters? Maybe the same as number of classes?
- What means the intersection point of completeness and homogeneity and v measure?
- What means the maximum in adjusted mutual info score?
Solution
Don't use these measures for choosing k. Because they compare to the known solution. If you have a known solution, why choose an approximation instead?
Probably just a coincidence. But you may want to study the equations, maybe they do agree at this point.
For AMI, NMI, ARI, etc. the maximum is the k with the largest agreement with your existing labeled solution.
- Webscraping Roblox
- Remove the mandatory field label 'This field is required.' and fix the bug with 'clean_email'
- How to plot a Probability Density Function in Python?
- How large is a fresh install of Python?
- Appending new elements into an empty list
- Simple way to measure cell execution time in ipython notebook
- PyAudio working, but spits out error messages each time
- Reportlab show page number and page count IF there is more than one page in a document
- How to read SharePoint Online (Office365) Excel files into Python specifically pandas with Work or School Account?
- How to set a column which suffix name is based on a value in another column
- Debugging Python C++ extension from Visual Studio Code on Linux
- How can I get all users on Google admin_sdk?
- csv.Error: iterator should return strings, not bytes
- How to check if an object has an attribute?
- How to use selenium with proxy auth in headless mode?
- Is there a way to exit a pytest test and continue to the next one?
- Returning the lowest index for the first non whitespace character in a string in Python
- Formatting exceptions as Python does
- Prime factorization using list comprehension in Python
- Why does the power spectrum E(k) of my velocity field follow 𝑘 ^(−(n−1)) instead of 𝑘^(−n)?
- How to merge dataframes over multiple columns and split rows?
- How to create a Sympy IndexedBase using a custom subclass of Symbol?
- Removing dynamically an element from a list
- Returning boolean if set is empty
- Can variables be decorated?
- Fast(est) exponentiation of numpy 3D matrix
- Removing an element from a list based on a condition
- Printing elements of dictionary line by line
- Matplotlib does not display the hatch of a patch in a legend
- Python win32com - Class not registered error