625 Open source projects that are alternatives of or similar to hierarchical-clustering

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

ELKI Data Mining Toolkit

Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.

Heart Disease prediction using 5 algorithms

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Data Mining algorithms for IDMW632C course at IIIT Allahabad, 6th semester

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

A Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.

Implementation of FPTree-Growth and Apriori-Algorithm for finding frequent patterns in Transactional Database.

All Algorithms implemented in R

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

pyclustring is a Python, C++ data mining library.

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

The Ruby DataMining Gem, is a little collection of several Data-Mining-Algorithms

🍊 📊 💡 Orange: Interactive data analysis

This package has migrated to https://github.com/rezakj/iCellR please use iCellR instead of scSeqR for more functionalities and updates.

Single cell type annotation guided by cell atlases, with freedom to be queer

A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).

This repository contains the code of Vert.x examples contained in my articles published on platforms such as kodcu.com, medium, dzone. How to run each example is described in its readme file.

k-means clustering in Ruby

A simple C# class using Watson TCP to enable a one-to-one high availability cluster.

Open Price Comparison for US Hospitals

Ansible role to install Consul (cluster of) server/agent

Implementation of a Quantum inspired genetic algorithm proposed by A quantum-inspired genetic algorithm for k-means clustering paper.

Python scripts to extract tweets and facebook posts from public users.

Misc Statistics and Machine Learning codes in R

Implementation of SOM and GSOM

This project is ABANDONWARE. Use https://www.rabbitmq.com/cluster-formation.html instead.

文本聚类（Kmeans、DBSCAN、LDA、Single-pass）

Modeling molecular ensembles with scalable data structures and parallel computing

c++ implementation of clustering by DBSCAN

C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering.

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

R interface for Fixed Effect Models

Rcpp Machine Learning: Fast robust NMF, divisive clustering, and more

Cluster and visualize relationships between anime on MyAnimeList

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

A keyphrase extractor for Persian

Monoidal data processes.

Trajectory Tracking Project

Probably the best curated list of data science books in Python

CSVs de las versiones estenográficas de las conferencias matutinas del Presidente Andres Manuel López Obrador ( Mañaneras AMLO )

A R framework for pipeline benchmarking, with application to single-cell RNAseq

Visual exploration of clustered data.

algorithm for study: multi-layer-perceptron, cluster-graph, cnn, rnn, restricted boltzmann machine, bayesian network

object flow treatment, data transformation

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

A fun study of some heuristics for the Travelling Salesman Problem.

A Python package for hubness analysis and high-dimensional data mining

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

ssdeep cluster analysis for malware files

Tiny tool to transform Freemind mindmap files into Dendrograms and from there to SVG

Consul-based peer discovery backend for RabbitMQ 3.7.0+

Easy association rule mining and classification on the web

Software for exploration of gene expression data from single-cell RNA sequencing.

interactive clustering platform