# hierarchical-clustering-algorithm > The Hierarchical Clustering Algorithm is a Python class that implements hierarchical clustering for data clustering tasks. It allows users to cluster data points into a predefined number of clusters based on their similarity. Latest version **1.0.1** (published 2024-05-05) · ISC license · 0 weekly downloads ## Install ```sh npm install hierarchical-clustering-algorithm pnpm add hierarchical-clustering-algorithm yarn add hierarchical-clustering-algorithm bun add hierarchical-clustering-algorithm ``` ## Health **Score 15/100 (F)** — status: abandoned. Positive: no vulnerabilities. Warnings: low downloads; no types; no esm support. Negative: abandoned; low maintenance score. ## Facts | | | |---|---| | Version | 1.0.1 | | Published | 2024-05-05 | | First published | 2024-03-02 | | Weekly downloads | 0 | | License | ISC | | TypeScript types | none | | Module format | CommonJS | | Dependencies | 45 | | Unpacked size | 3.5 KB | | Known vulnerabilities | 0 | | Install scripts | no | | Maintainers | rodriguezjones | ## Links - npm: https://www.npmjs.com/package/hierarchical-clustering-algorithm - Repository: https://github.com/suuiw/Hierarchical-Clustering-Algorithm - Homepage: https://github.com/suuiw/Hierarchical-Clustering-Algorithm#readme - Issues: https://github.com/suuiw/Hierarchical-Clustering-Algorithm/issues - npm.io page: https://npm.io/package/hierarchical-clustering-algorithm ## Dependencies (45) - [numpy](https://npm.io/package/numpy.md) ^1.21.3 - [scipy](https://npm.io/package/scipy.md) ^1.7.1 - [dark-maze](https://npm.io/package/dark-maze.md) 1.0.0 - [neonninja](https://npm.io/package/neonninja.md) 1.0.0 - [aihua-game](https://npm.io/package/aihua-game.md) 1.0.3 - [datadynamo](https://npm.io/package/datadynamo.md) 1.0.0 - [matplotlib](https://npm.io/package/matplotlib.md) ^3.4.3 - [neon-blitz](https://npm.io/package/neon-blitz.md) 1.0.0 - [pixelpanic](https://npm.io/package/pixelpanic.md) 1.0.1 - [digit-merge](https://npm.io/package/digit-merge.md) 1.0.0 - [pixelpuzzle](https://npm.io/package/pixelpuzzle.md) 1.0.0 - [realm-cards](https://npm.io/package/realm-cards.md) 1.0.1 - [starsmasher](https://npm.io/package/starsmasher.md) 1.0.0 - [cipherscribe](https://npm.io/package/cipherscribe.md) 1.0.0 - [dark-journey](https://npm.io/package/dark-journey.md) 1.0.1 - [gravityglide](https://npm.io/package/gravityglide.md) 1.0.1 - [virtualvoyage](https://npm.io/package/virtualvoyage.md) 1.0.0 - [adventurequest](https://npm.io/package/adventurequest.md) 1.0.0 - [cosmicconquest](https://npm.io/package/cosmicconquest.md) 1.0.0 - [cryptocompanion](https://npm.io/package/cryptocompanion.md) 1.0.1 - [serpentine-quest](https://npm.io/package/serpentine-quest.md) 1.0.0 - [tictactoe-api-feng](https://npm.io/package/tictactoe-api-feng.md) 1.0.4 - [ruby-task-scheduler](https://npm.io/package/ruby-task-scheduler.md) 1.0.2 - [space-adventure-game](https://npm.io/package/space-adventure-game.md) 1.0.0 - [automated-file-backup](https://npm.io/package/automated-file-backup.md) 1.0.0 - [random-famous-library1](https://npm.io/package/random-famous-library1.md) ^1.0.0 - [random-famous-library2](https://npm.io/package/random-famous-library2.md) ^2.0.0 - [tictactoe-api-penglang](https://npm.io/package/tictactoe-api-penglang.md) 1.0.7 - [automated-email-sending](https://npm.io/package/automated-email-sending.md) 1.0.0 - [fantasy-quest-adventure](https://npm.io/package/fantasy-quest-adventure.md) 1.0.0 - [file-encryption-program](https://npm.io/package/file-encryption-program.md) 1.0.1 - [automated-database-backup](https://npm.io/package/automated-database-backup.md) 1.0.0 - [automated-image-processing](https://npm.io/package/automated-image-processing.md) 1.0.0 - [simple-calculator-program9](https://npm.io/package/simple-calculator-program9.md) 1.0.1 - [javascript-quiz-application](https://npm.io/package/javascript-quiz-application.md) 1.0.1 - [python-data-analysis-script](https://npm.io/package/python-data-analysis-script.md) 1.0.1 - [java-command-line-calculator](https://npm.io/package/java-command-line-calculator.md) 1.0.1 - [java-file-management-utility](https://npm.io/package/java-file-management-utility.md) 1.0.2 - [automated-data-transformation](https://npm.io/package/automated-data-transformation.md) 1.0.0 - [python-image-processing-script](https://npm.io/package/python-image-processing-script.md) 1.0.2 - [javascript-todo-list-application](https://npm.io/package/javascript-todo-list-application.md) 1.0.2 - [quantum-error-correction-simulator](https://npm.io/package/quantum-error-correction-simulator.md) ^1.0.0 - [genetic-algorithm-for-feature-selection](https://npm.io/package/genetic-algorithm-for-feature-selection.md) 1.0.0 - [reinforcement-learning-with-deep-q-networks](https://npm.io/package/reinforcement-learning-with-deep-q-networks.md) 1.0.0 - [symbolic-regression-with-genetic-programming](https://npm.io/package/symbolic-regression-with-genetic-programming.md) 1.0.0 ## Recent versions - 1.0.1 (latest) — 2024-05-05 - 1.0.0 — 2024-03-02 ## README # Hierarchical Clustering Algorithm The Hierarchical Clustering Algorithm is a Python class that implements hierarchical clustering for data clustering tasks. It allows users to cluster data points into a predefined number of clusters based on their similarity. ## Usage: 1. Initialize the HierarchicalClustering object with the desired number of clusters and linkage method. 2. Fit the model to the data using the `fit` method. 3. Predict cluster labels for new data points using the `predict` method. ## Features: - Supports different linkage methods including single, complete, and average linkage. - Customizable number of clusters for clustering tasks. - Efficient implementation of the hierarchical clustering algorithm. ## Requirements: - Python 3.x - NumPy --- _Source: https://npm.io/package/hierarchical-clustering-algorithm · Machine-readable twin of the npm.io package page. Health data is recomputed on every publish._