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.
It needs to create txt file of unity cluster data
unity=concatenate([clt1,clt2,clt3],axis=0)
indeces=random.permutation(unity.shape[0])
unity=unity.take(indeces,0)
savetxt('xxx.txt',unity)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.
Source 1: Wiki Source 2: What is cluster analysis?
You can use Python with data package: Anaconda or Miniconda. There's another way - use Portable Python. Also you can use whatever IDE for Python.
Free