882 Open source projects that are alternatives of or similar to kmeans

Explore high-dimensional datasets and how your algo handles specific regions.

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

Machine Learning (EE 5184) in NTU

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

Heart Disease prediction using 5 algorithms

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

📜 Self-Supervised Learning from Images: Up-to-date reading list.

Python Framework for Extractive Text Summarization

🍊 📊 💡 Orange: Interactive data analysis

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

machine learning algorithms in Swift

A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.

Different clustering approaches applied on different problemsets

Find nodes in hierarchical clustering that are statistically significant

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Python implementation of bag-of-concepts

How to do Unsupervised Clustering with Keras

(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

ELKI Data Mining Toolkit

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

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Golang Utilities for Data Analysis

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

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

文本聚类（Kmeans、DBSCAN、LDA、Single-pass）

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

PHP-ML - Machine Learning library for PHP

K-Means clustering

Machine Learning Course @ Santa Clara University

TCyb 2018: Graph learning for multiview clustering

Pipeline of a keylogging attack using just an audio signal and unsupervised learning.

DBSCAN Clustering Algorithm C# Implementation

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.

Learning to Cluster. A deep clustering strategy.

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

A curated list of community detection research papers with implementations.

Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"

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

A library of extension and helper modules for Python's data analysis and machine learning libraries.

All Algorithms implemented in R

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)

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

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

Implementation of linear CorEx and temporal CorEx.

A JavaScript library to allocate and optimize financial portfolios.

Demo of basic machine learning models in python with Jupter Notebook

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

IMPLEMENT AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)

ADENINE: A Data ExploratioN PipelINE

🏆DataCon大数据安全分析大赛，2019年方向二（恶意代码检测）冠军源码、2020年方向五（恶意代码分析）季军源码

Python Implementation for Linde-Buzo-Gray / Generalized Lloyd Algorithm for vector quantization.

Proto-RL: Reinforcement Learning with Prototypical Representations

“合肥高新杯”心电人机智能大赛 —— 心电异常事件预测 TOP1 Solution

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

Unsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering