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Implemented KD Tree Data Structure #11532

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@Ramy-Badr-Ahmed Ramy-Badr-Ahmed commented Aug 28, 2024

Describe your change:

This pull request adds an implementation of the KD-Tree data structure along with related functionalities, such as nearest neighbor searches.

Definition: The KD-Tree is a space-partitioning data structure used for organizing points in a k-dimensional space. (URL: KD-Tree)

Implementation Details:

  • build_kdtree.py: Contains the function to build a KD-Tree from a set of points.
  • nearest_neighbor_search.py: Implements the nearest neighbor search algorithm using the built KD-Tree.
  • kd_node.py: Defines the KDNode class representing nodes in the KD-Tree.

Example Usage:

  • hypercube_points.py: Provides a function to generate random points uniformly distributed within an n-dimensional hypercube.
  • example_usage.py: Demonstrates how to use the KD-Tree implementation with the generated random hypercube points and querying for nearest neighbors.

Unit Tests:

  • test_kdtree.py: Validates the correctness of the KD Tree implementation, including tests for building the tree, querying for nearest neighbors and testing edge cases.

Reference

The Algorithm Design Manual, Latest edition

@algorithms-keeper algorithms-keeper bot added awaiting reviews This PR is ready to be reviewed tests are failing Do not merge until tests pass labels Aug 28, 2024
@Ramy-Badr-Ahmed Ramy-Badr-Ahmed changed the title Feature/kd tree implementation kd tree data structure implementation Aug 28, 2024
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@algorithms-keeper algorithms-keeper bot added require descriptive names This PR needs descriptive function and/or variable names require tests Tests [doctest/unittest/pytest] are required require type hints https://docs.python.org/3/library/typing.html labels Aug 28, 2024
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pre-commit-ci bot and others added 3 commits August 28, 2024 18:02
…into feature/kd-tree-implementation

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#	data_structures/kd_tree/nearest_neighbour_search.py
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Added docstrings, & typehints

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added pytests, changed assertion style

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cclauss commented Sep 3, 2024

I made some changes... Let's see if it passes.

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I made some changes... Let's see if it passes.

Works now :-)

@cclauss cclauss enabled auto-merge (squash) September 3, 2024 12:38
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Nice... Nodes are usually great candidates for dataclass.

Thanks for doing this.

@cclauss cclauss merged commit f16d38f into TheAlgorithms:master Sep 3, 2024
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sedatguzelsemme pushed a commit to sedatguzelsemme/Python that referenced this pull request Sep 15, 2024
* Implemented KD-Tree Data Structure

* Implemented KD-Tree Data Structure. updated DIRECTORY.md.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Create __init__.py

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Replaced legacy `np.random.rand` call with `np.random.Generator` in kd_tree/example_usage.py

* Replaced legacy `np.random.rand` call with `np.random.Generator` in kd_tree/hypercube_points.py

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* Update data_structures/kd_tree/build_kdtree.py

Co-authored-by: Christian Clauss <cclauss@me.com>

* Update data_structures/kd_tree/example/hypercube_points.py

Co-authored-by: Christian Clauss <cclauss@me.com>

* Update data_structures/kd_tree/example/hypercube_points.py

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@Ramy-Badr-Ahmed Ramy-Badr-Ahmed changed the title kd tree data structure implementation KD Tree Data Structure Implementation Sep 21, 2024
@Ramy-Badr-Ahmed Ramy-Badr-Ahmed changed the title KD Tree Data Structure Implementation Implemented KD Tree Data Structure Sep 26, 2024
Ramy-Badr-Ahmed added a commit to Ramy-Badr-Ahmed/Python-DSA that referenced this pull request Sep 28, 2024
Ramy-Badr-Ahmed added a commit to Ramy-Badr-Ahmed/Python-DSA that referenced this pull request Sep 28, 2024
cclauss added a commit that referenced this pull request Sep 28, 2024
* Implemented KD-Tree Data Structure

* Implemented KD-Tree Data Structure. updated DIRECTORY.md.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Create __init__.py

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* Replaced legacy `np.random.rand` call with `np.random.Generator` in kd_tree/example_usage.py

* Replaced legacy `np.random.rand` call with `np.random.Generator` in kd_tree/hypercube_points.py

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* E501 for build_kdtree.py, hypercube_points.py, nearest_neighbour_search.py

* I001 for example_usage.py and test_kdtree.py

* I001 for example_usage.py and test_kdtree.py

* Update data_structures/kd_tree/build_kdtree.py

Co-authored-by: Christian Clauss <cclauss@me.com>

* Update data_structures/kd_tree/example/hypercube_points.py

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* Update data_structures/kd_tree/example/hypercube_points.py

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* Adding data to DIRECTORY.md

* Minor file renaming

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* Considering ruff part-5

* Implemented Suffix Tree Data Structure.
Added some comments to my files in #11532, #11554.

* updating DIRECTORY.md

* Implemented Suffix Tree Data Structure.
Added some comments to my files in #11532, #11554.

---------

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cclauss added a commit to cclauss/Python that referenced this pull request Sep 30, 2024
* Implemented KD-Tree Data Structure

* Implemented KD-Tree Data Structure. updated DIRECTORY.md.

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* Create __init__.py

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* Replaced legacy `np.random.rand` call with `np.random.Generator` in kd_tree/example_usage.py

* Replaced legacy `np.random.rand` call with `np.random.Generator` in kd_tree/hypercube_points.py

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* E501 for build_kdtree.py, hypercube_points.py, nearest_neighbour_search.py

* I001 for example_usage.py and test_kdtree.py

* I001 for example_usage.py and test_kdtree.py

* Update data_structures/kd_tree/build_kdtree.py

Co-authored-by: Christian Clauss <cclauss@me.com>

* Update data_structures/kd_tree/example/hypercube_points.py

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* Update data_structures/kd_tree/example/hypercube_points.py

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* Implemented KD-Tree Data Structure

* Implemented KD-Tree Data Structure. updated DIRECTORY.md.

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* Create __init__.py

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* Replaced legacy `np.random.rand` call with `np.random.Generator` in kd_tree/example_usage.py

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* I001 for example_usage.py and test_kdtree.py

* I001 for example_usage.py and test_kdtree.py

* Update data_structures/kd_tree/build_kdtree.py

Co-authored-by: Christian Clauss <cclauss@me.com>

* Update data_structures/kd_tree/example/hypercube_points.py

Co-authored-by: Christian Clauss <cclauss@me.com>

* Update data_structures/kd_tree/example/hypercube_points.py

Co-authored-by: Christian Clauss <cclauss@me.com>

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* Implemented Suffix Tree Data Structure.
Added some comments to my files in TheAlgorithms#11532, TheAlgorithms#11554.

* updating DIRECTORY.md

* Implemented Suffix Tree Data Structure.
Added some comments to my files in TheAlgorithms#11532, TheAlgorithms#11554.

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cclauss added a commit to cclauss/Python that referenced this pull request Sep 30, 2024
* Implemented KD-Tree Data Structure

* Implemented KD-Tree Data Structure. updated DIRECTORY.md.

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* Create __init__.py

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* Replaced legacy `np.random.rand` call with `np.random.Generator` in kd_tree/example_usage.py

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* Update data_structures/kd_tree/build_kdtree.py

Co-authored-by: Christian Clauss <cclauss@me.com>

* Update data_structures/kd_tree/example/hypercube_points.py

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* Update data_structures/kd_tree/example/hypercube_points.py

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* Implemented KD-Tree Data Structure

* Implemented KD-Tree Data Structure. updated DIRECTORY.md.

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* Replaced legacy `np.random.rand` call with `np.random.Generator` in kd_tree/example_usage.py

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* Update data_structures/kd_tree/build_kdtree.py

Co-authored-by: Christian Clauss <cclauss@me.com>

* Update data_structures/kd_tree/example/hypercube_points.py

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* Update data_structures/kd_tree/example/hypercube_points.py

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* Implementation of the suffix tree data structure

* Adding data to DIRECTORY.md

* Minor file renaming

* minor correction

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* Considering ruff part-5

* Implemented Suffix Tree Data Structure.
Added some comments to my files in TheAlgorithms#11532, TheAlgorithms#11554.

* updating DIRECTORY.md

* Implemented Suffix Tree Data Structure.
Added some comments to my files in TheAlgorithms#11532, TheAlgorithms#11554.

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Christian Clauss <cclauss@me.com>
Co-authored-by: Ramy-Badr-Ahmed <Ramy-Badr-Ahmed@users.noreply.github.com>
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3 participants