ckwrap
groupImg
ckwrap | groupImg | |
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1 | 2 | |
12 | 222 | |
- | - | |
6.9 | 4.9 | |
19 days ago | 6 days ago | |
Python | Python | |
GNU Lesser General Public License v3.0 only | MIT License |
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ckwrap
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Introduction to K-Means Clustering
Note also that specifically for one-dimensional data, there is a globally optimal solution to the k-means clustering problem. There is an R package that implements it using a C++ core implementation [1], and also a Python wrapper [2].
[1]: https://cran.r-project.org/package=Ckmeans.1d.dp
[2]: https://github.com/djdt/ckwrap
groupImg
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Introduction to K-Means Clustering
If anyone is interested, I have two projects that uses k-means
https://github.com/victorqribeiro/groupImg
https://github.com/victorqribeiro/budget
Being one of the first ML algorithms that I learned, I spend some time finding use cases for it
If I'm not mistaken I've also used in to classify deforestation in an exercise
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Show HN: I made NIGHT.FM, a cyberpunk-inspired online radio
well, I took a class back in college with an Old School professor. He's the one who drove the class that way. I just enjoyed the process. But there are a lot of tutorials on the internet about writing your own NN. I think the first algorithm that I ever wrote regarding ML was k-means [1]. Start there and see where it takes you:
https://en.wikipedia.org/wiki/K-means_clustering
Look at this project I have used it:
https://github.com/victorqribeiro/groupImg
What are some alternatives?
word2vec - Automatically exported from code.google.com/p/word2vec
m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
hdbscan - A high performance implementation of HDBSCAN clustering.
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
RobotEyes - Image comparison for Robot Framework
tslearn - The machine learning toolkit for time series analysis in Python
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
img2cmap - Create colormaps from images
differences-between-two-images - Detect and visualize differences between two images with OpenCV Python