jennyhwei04

jennyhwei04's Stars

• datawhalechina/pumpkin-book

  《机器学习》（西瓜书）公式详解

  24k623774.7k

• MorvanZhou/tutorials

  机器学习相关教程

  Language:Python11.8k666675.7k

• Embedding/Chinese-Word-Vectors

  100+ Chinese Word Vectors 上百种预训练中文词向量

  Language:Python11.8k2861682.3k

• chatopera/Synonyms

  :herb: 中文近义词：聊天机器人，智能问答工具包

  Language:Python5k174130902

• szcf-weiya/ESL-CN

  The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

  Language:Jupyter Notebook2.4k72239595

• haoyuhu/cluster-analysis

  K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan

  Language:Python33511184

• jasonwbw/DensityPeakCluster

  A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.

  Language:Python3012410121

• zhoushengisnoob/HINE

  Heterogeneous Information Network Embedding

  1998343

• wlwkgus/DeepSpectralClustering

  Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper

  Language:Python92448

• colinwke/dpca

  density peak clustering algorithm implement by python sklearn manner

  Language:Python42308

• ansh97/Building-Web-Applications-in-PHP-answer-key

  coursera

  Language:PHP2880

• imaginespark/clustering

  Comparison among K-Means, DBSCAN and Density Peak

  Language:MATLAB22004

• parasdahal/deepclustering

  Code for Learning Embedding Space for Clustering From Deep Representations [IEEE BigData 2018]

  Language:Python22128

• wdlv/Clustering-on-the-MNIST-data

  Comparisons between KMeans, PCA, LDA, t-SNE on the MNIST dataset

  Language:Jupyter Notebook22208

• Qwlouse/Binding

  Code for the "Binding via Reconstruction Clustering" paper

  Language:Jupyter Notebook21205

• parthokr/Web-Application-Technologies-and-Django-Coursera

  This repository contains solution to the quiz(s) and assignment(s) of Web Application Technologies and Django this course.

  Language:HTML172017

• shihai1991/kernel-density-peaks

  We develop the clustering approach by fast-search-and-find of density peaks which use the kernel function for mapping the input sample objects to the high dimensional feature space and amplifying the original sample objects’ characteristics, thereby researching the local density of the object attribute based on similarity measure. In order to identify our method’s effectiveness, we compare our method to other popular clustering algorithms. From the result analysis, we could conclude that our method have a better result.

  Language:MATLAB17306

• BenKosSoft/pymovielens

  Applying differential privacy to movie recommendation system to guarantee the privacy of individual user ratings.

  Language:Python10206

• guillaume6pl/mr_pagerank

  Computing pagerank with Hadoop MapReduce

  Language:Python9315

• elysoly/GraphBasedRecommenderSystem

  This is the implementation of a recommender system that based only on graph features based on this paper: M. Shah, D. Parikh, and B. Deshpande, “Movie Recommendation System Employing Latent Graph Features in Extremely Randomized Trees,” in Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies, 2016, p. 42.

  Language:Python50

• FenHua/CFS-

  Clustering by fast search and find of density peaks；CFS alogrithm

  Language:Matlab520

• GaoxiangLi/Data-Mining-Project

  Project for data mining course (implement the paper scalable-k-means-clustering-via-lightweight-coresets )

  Language:Jupyter Notebook4001

• samensah/Clustering-Fast-Search

  Fast Search and Find of Density Peaks by Alex Rodriguez, Alessandro Laio

  Language:Python4201

• slf12/DensityCluster

  An implement for 'Clustering by fast search and find of density peaks' in science 2014.

  Language:Python3203

• SYSU-KM/Data-Mining-Clustering-Optimization

  Optimization of Density Peak Clustering Based on Neighbors Similarity and KNN

  Language:Matlab3

• hideodaikoku/Apriori-Clustering

  Language:Jupyter Notebook2000

• xyf031/DataMiningHomework

  [Python3.4] 20141229-数据挖掘课程作业《Clustering by fast search and find of density peaks》

  Language:Python21

• Jack-Etheredge/Hierarchical-Clustering-of-Differentially-Expressed-Genes

  Hierarchical clustering of differentially expressed genes for thesis.

  Language:Jupyter Notebook1100

• mike-snow/Document-clustering-paper

  Unsupervised Document Clustering with Cluster Topic Identification

  Language:Jupyter Notebook11

• summer995/clustering-by-fast-search-and-find-of-density-peaks

  Language:Python10