agglomerative hierarchical clustering example

Hierarchical Clustering Principle: Well. Sort the diagram. Divide and conquer. Yes, unlike prototype clustering and density clustering, hierarchical clustering attempts to partition sample datasets on different "levels",

Python clustering algorithm-aggregated hierarchical clustering instance analysis, python Clustering This example describes the clustering of Python clustering algorithms. We will share

. second, condensing hierarchical clustering Hierarchical clustering can be divided into condensed (agglomerative) hierarchical clustering and split (divsive)

This article mainly introduces the principle and specific usage skills of the Python Clustering Algorithm for clustering hierarchical clustering, which has some reference value, for more information about Python clustering, see the following

excessive merging, the defined exit condition is that the cluster of 90% is merged, that is, the current cluster number is the 10% of the initial cluster : The implementation code is as follows:[Python]View PlainCopy # Scoding=utf-8 # Agglomerative Hierarchical Clustering (AHC) Import Pylab as Pl From operator Import Itemgetter From collections Impor

Label: Cluster analysis groups data Objects (clusters) based only on the information found in the data describing the objects and their relationships . The goal is that objects within a group are similar to each other, and objects in different groups are different. The greater the similarity within the group, the greater the difference between groups, the better the clustering. The different types of clustering