Explore MATLAB source code curated for "层次聚类" with clean implementations, documentation, and examples.
Hierarchical clustering in pattern recognition with practical MATLAB code examples using custom implementations instead of built-in functions, covering algorithm principles and key computational steps
Implementation of intelligent control theory algorithms featuring hierarchical clustering, Hopfield network, and genetic algorithm optimization with three source code files
1. Master different clustering methods - hierarchical-based and partition-based approaches 2. Learn the single-linkage algorithm for hierarchical clustering 3. Learn the K-means algorithm with implementation insights
BIRCH (Balanced Iterative Reducing and Clustering Using Hierarchies) is an unsupervised data mining algorithm designed for hierarchical clustering of exceptionally large datasets. Its key strength lies in incremental and dynamic clustering capabilities with efficient memory management through CF (Clustering Feature) trees.
This project implements a hierarchical clustering algorithm utilizing B-TREE data structure and generates visual outputs for result analysis
Practical implementation of two-dimensional clustering algorithms with MATLAB code examples covering K-Means and hierarchical clustering methods