Sherry-Meng's starred repositories
Machine-Learning-in-Action-Python3
《机器学习实战》的python3源码
machinelearninginaction
Source Code for the book: Machine Learning in Action published by Manning
fast-kmeans
Code to speed up k-means clustering. Originally at BaylorCS/baylorml.
Faster-Kmeans
Code for a faster K-means clustering heuristic
machine_learning_basics
Plain python implementations of basic machine learning algorithms
particle-swarm-optimized-clustering
Hybrid PSO Clustering Algorithm with K-Means for Data Clustering
KMeans_elbow
Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
more-ML-algorithm
There are more Machine Learning algorithms
ffoptimized_kmeans
Optimized k-means using firefly algorithm(nature inspired meta heuristic )
Kmeans-PSO
Vanila implementation of Kmeans++ with PSO optimization
optimization-of-kmeans-algorithm
K-Means is a clustering algorithm which is used for cluster analysis in data mining; it partitions the data set into k clusters. In this project, K-Means algorithm is optimized using PSO (Parm Swarm Optimization)in terms of time. PSO simulates the social behavior of birds and helps to improve candidate solution iteratively. This project is made in python and has been tested on some standard data sets.
kmeans-pso
Optimizing k-means++ initialization using PSO
canopyKmeans_improved
This is an implementation of the paper on "Improved K-means algorithm based on density Canopy".
MachineLearning_Lab
Code lab for machine learning. Including Least Square Method,Gradient Descent,Newton's Method,Hierarchy Cluster,KNN,Markov,Adaboost,Random Number Generation(all kinds of distributions),N Sigma outlier detection,outlier detection based on median,FFT outlier detection,DBSCAN,Kmeans,Naive Bayes,perceptron,reinforcement learning.
DeepClustering
Methods and Implements of Deep Clustering
improved-bi-kmeans
改进的二分聚类 选用的优化目标：母簇分裂的误差平方和降低量
Improved-K-means-Clustering-Algorithm
An improved k-means clustering algorithm with improved centroid selection and clustering functions
Modified-kmeans-Python
Implémentation de l'algorithme de classification kmeans modifié en utilisant Python
Modified_Kmeans_Image_Segmentation
A modified version of the traditional k-means clustering algorithm that considers spatial information when segmenting images.
cmpe537-color-quantization
This is a CMPE537 project given in Fall 2019 at Boğaziçi University
Computer-Vision-Projects
Variety of projects in computer vision, including seam carving, color quantization, motion history images, and frame queries