fast_density_clustering

MachineLearning

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

ML_for_learner

Implementations of the machine learning algorithm with Python and numpy

graph-based-clustering

Graph-Based Clustering using connected components and spanning trees.

kmeans-dbscan-tutorial

A clustering tutorial with scikit-learn for beginners.

skggm

Scikit-learn compatible estimation of general graphical models

CommonNNClustering

A Python package for common-nearest-neighbours clustering

pdc-dp-means

"Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation" [Din...

spherecluster

Clustering routines for the unit sphere

IMPLEMENTATION-OF-THE-COMPONENT-WISE-PEAK-FINDING-ALGORITHM

fastlapmap

Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with mini...

pyclustertend

A python package to assess cluster tendency

COVID19-Literature-Clustering

An approach to document exploration using Machine Learning. Let's cluster similar research articl...

Anomaly-Detection

kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering cate...

Machine_Learning

Some fundamental machine learning and data-analysis techniques are explained through realistic ex...