https://github.com/rcv911/cluster_generation
Generation of cluster test data
https://github.com/rcv911/cluster_generation
cluster cluster-analysis cluster-generation clustering clustering-algorithm clusters data-analysis machine-learning
Last synced: 5 months ago
JSON representation
Generation of cluster test data
- Host: GitHub
- URL: https://github.com/rcv911/cluster_generation
- Owner: rcv911
- Created: 2017-12-19T16:18:51.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-12-20T12:44:04.000Z (over 8 years ago)
- Last Synced: 2023-11-29T20:43:07.131Z (over 2 years ago)
- Topics: cluster, cluster-analysis, cluster-generation, clustering, clustering-algorithm, clusters, data-analysis, machine-learning
- Language: Python
- Homepage:
- Size: 344 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Cluster generation
## Description
In a nutshell, cluster analysis is analys of similar data objects. Here's examples cluster generation.
>cluster_test.py
>cluster_circle.py
>cluster_test_3d.py
>cluster_sphere_3d.py
We will use some examples in future projects for introducing in cluster analysis.
## Code Example
It needs to create txt file of unity cluster data
```python
unity=concatenate([clt1,clt2,clt3],axis=0)
indeces=random.permutation(unity.shape[0])
unity=unity.take(indeces,0)
savetxt('xxx.txt',unity)
```
## Knowledge
Objects have properties. We are going to consider measurable properties. We assume that all properties
has the same type (for example length, width, height).
Now we need to group objects based on properties. Measure the differences helps.
It's **distance**. The properties of the object is now a ***vector***.
## Learn more
Source 1: [Wiki](https://en.wikipedia.org/wiki/Cluster_analysis)
Source 2: [What is cluster analysis?](https://en.wikipedia.org/wiki/Cluster_analysis)
## Installation
You can use [Python](https://www.python.org/) with data package: [Anaconda](https://www.anaconda.com/) or [Miniconda](https://conda.io/miniconda).
There's another way - use [Portable Python](http://portablepython.com/). Also you can use whatever IDE for Python.
## License
Free