Explore MATLAB source code curated for "欧氏距离" with clean implementations, documentation, and examples.
Implementation of multiple pattern recognition algorithms in MATLAB including Chebyshev distance method, Mahalanobis distance method, and Euclidean distance method, each provided with various programming approaches and detailed code explanations.
Hand gesture recognition implementation in MATLAB utilizing Histogram of Oriented Gradients (HOG) for feature extraction and Euclidean distance metric for classification decision-making.
Calculate the Euclidean distance between two matrices - a valuable resource for students studying pattern recognition, featuring code implementation approaches and algorithm explanations.
This paper presents a practical improvement for the data association process in SLAM algorithms by combining Euclidean distance with Mahalanobis distance. The algorithm efficiently narrows down the search scope for feature matching by first applying simpler Euclidean distance calculations before computing more complex Mahalanobis distances. Simulation results using synthetic data demonstrate that our enhanced method significantly reduces computational load and improves association efficiency without increasing incorrect associations.
Initializes cluster centers randomly based on preset cluster count, computes Euclidean distances for data similarity measurement, and generates final clustering results through iterative centroid updates.
Extract GIST vectors from images, compute Euclidean distances between vectors, and perform comparative analysis using feature vector comparison techniques.
Custom MATLAB source codes implementing five grayscale histogram processing methods: weighted distance, cumulative histogram, Euclidean distance, histogram intersection, and central moments approach. These implementations provide algorithm-level solutions for histogram analysis and comparison tasks.
MATLAB-based Gesture Recognition System Using HOG Features and Euclidean Distance