jennyhwei04

pumpkin-book

《机器学习》（西瓜书）公式详解

tutorials

机器学习相关教程

Chinese-Word-Vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

Synonyms

:herb: 中文近义词：聊天机器人，智能问答工具包

ESL-CN

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

cluster-analysis

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

DensityPeakCluster

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

HINE

Heterogeneous Information Network Embedding

DeepSpectralClustering

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

dpca

density peak clustering algorithm implement by python sklearn manner

Building-Web-Applications-in-PHP-answer-key

coursera

clustering

Comparison among K-Means, DBSCAN and Density Peak

deepclustering

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

Clustering-on-the-MNIST-data

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

Binding

Code for the "Binding via Reconstruction Clustering" paper

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.

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.

pymovielens

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

mr_pagerank

Computing pagerank with Hadoop MapReduce

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.

CFS-

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

Data-Mining-Project

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

Clustering-Fast-Search

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

DensityCluster

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

Data-Mining-Clustering-Optimization

Optimization of Density Peak Clustering Based on Neighbors Similarity and KNN

Apriori-Clustering

DataMiningHomework

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

Hierarchical-Clustering-of-Differentially-Expressed-Genes

Hierarchical clustering of differentially expressed genes for thesis.

Document-clustering-paper

Unsupervised Document Clustering with Cluster Topic Identification

clustering-by-fast-search-and-find-of-density-peaks