Explore MATLAB source code curated for "ISODATA" with clean implementations, documentation, and examples.
Rapid implementation code for ISODATA clustering algorithm, execute test_isodata to observe test results. This algorithm is ideal for feature classification prior to point pattern matching, featuring adaptive cluster merging/splitting with threshold controls.
MATLAB implementation of Dynamic Clustering or Iterative Self-Organizing Data Analysis Algorithm (ISODATA) for clustering 2D data using adaptive center adjustment and automatic cluster number determination
MATLAB code implementation for ISODATA image clustering algorithm with pixel classification and cluster analysis features