budget
A simply budget app that predicts where the expenses are being made (by victorqribeiro)
ckwrap
Wrapper for Ckmeans.1d.dp. (by djdt)
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| budget | ckwrap | |
|---|---|---|
| 1 | 1 | |
| 104 | 12 | |
| - | - | |
| 10.0 | 6.9 | |
| over 5 years ago | 19 days ago | |
| JavaScript | Python | |
| GNU General Public License v3.0 or later | GNU Lesser General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
budget
Posts with mentions or reviews of budget.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-14.
-
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
ckwrap
Posts with mentions or reviews of ckwrap.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-14.
-
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
What are some alternatives?
When comparing budget and ckwrap you can also consider the following projects:
hdbscan - A high performance implementation of HDBSCAN clustering.
word2vec - Automatically exported from code.google.com/p/word2vec