MATLAB House :: Channel

❇️Revolutionizing Multi-Robot Path Planning: Adaptive Differential Sine-Cosine Algorithm

In this video, we explore the innovative Multi-Strategy and Self-Adaptive Differential Sine–Cosine Algorithm in MATLAB, enhancing multi-robot path planning. Surpassing the traditional SCA, this approach introduces diverse strategies for better adaptability and performance, achieving a 42% improvement in navigating complex environments. Discover its application, comparisons with leading algorithms, and its potential to transform robotics.
🔻YouTube: https://youtu.be/4ZSgFP-G-jY
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#Robotics #PathPlanning #MATLABSimulation #AlgorithmImprovement #MultiRobotSystems #AdaptiveAlgorithms #SineCosineAlgorithm #MetaheuristicAlgorithms #EngineeringInnovation #TechExploration

❇️Fast Self-Supervised Clustering With Anchor Graph
This tutorial showcases the Fast Self-Supervised Clustering method for large-scale, high-dimensional data analysis without labeled samples, using MATLAB. It introduces the Fast Self-Supervised Framework (FSSF) and Balanced K-Means-based Hierarchical K-Means (BKHK) with bipartite graph theory. The method involves four key steps: acquiring an anchor set with BKHK, constructing a bipartite graph, solving the problem using FSSF, and selecting representative points for label propagation. Demonstrated to surpass other methods in performance and efficiency, it offers key insights for those in machine learning and data science.
🔻YouTube: https://youtu.be/_HgnVNGY5gQ
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#MachineLearning #MATLABSimulation #SelfSupervisedClustering #AnchorGraph #IEEE #DataScience #ClusteringAlgorithms #UnsupervisedLearning #BigData #AIResearch