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2. Probabilistic roadmap - Wikipedia

   en.wikipedia.org/wiki/Probabilistic_roadmap

   The rate of convergence depends on certain visibility properties of the free space, where visibility is determined by the local planner. Roughly, if each point can "see" a large fraction of the space, and also if a large fraction of each subset of the space can "see" a large fraction of its complement, then the planner will find a path quickly.

3. Python (programming language) - Wikipedia

   en.wikipedia.org/wiki/Python_(programming_language)

   Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...

4. Core Python Programming - Wikipedia

   en.wikipedia.org/wiki/Core_Python_Programming

   Core Python Programming is a textbook on the Python programming language, written by Wesley J. Chun. The first edition of the book was released on December 14, 2000. [1] The second edition was released several years later on September 18, 2006. [2] Core Python Programming is mainly targeted at higher education students and IT professionals. [3]

5. Guido van Rossum - Wikipedia

   en.wikipedia.org/wiki/Guido_van_Rossum

   At the 2002 FOSDEM conference in Brussels, Van Rossum received the 2001 Award for the Advancement of Free Software from the Free Software Foundation (FSF) for his work on Python. In May 2003, he received a NLUUG Award. [38] In 2006, he was recognized as a Distinguished Engineer by the Association for Computing Machinery.

6. scikit-learn - Wikipedia

   en.wikipedia.org/wiki/Scikit-learn

   scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

7. Self-organizing map - Wikipedia

   en.wikipedia.org/wiki/Self-organizing_map

   A self-organizing map (SOM) or self-organizing feature map (SOFM) is an unsupervised machine learning technique used to produce a low-dimensional (typically two-dimensional) representation of a higher-dimensional data set while preserving the topological structure of the data.