Machine Learning
  • Introduction
  • man
  • Linear model
    • Linear Regression
    • Generalized Linear Models
    • Nonlinear regression
  • bayes
    • bayesian network
    • Variational Bayesian inference
    • Gaussian Process Regression
  • Logistic Regression
    • L1 regularization
    • L2 regularization
    • softmax
    • Overflow and Underflow
  • SVM
    • C-SVM
    • C-SVM求解
  • EM
    • GMM
  • Maximum Entropy
    • IIS
  • HMM
    • viterbi algorithm
  • CRF
  • Random Forest
    • bagging
    • random forest
  • boosting
    • catboost
    • gradient boosting
    • Newton Boosting
    • online boosting
    • gcForest
    • Mixture models
    • XGBoost
    • lightGBM
    • SecureBoost
  • LDA
  • rank
    • RankNet
    • LambdaRank
    • SimRank
  • Factorization Machine
    • Field-aware Factorization Machine
    • xdeepFM
  • Clustering
    • BIRCH
    • Deep Embedding Clustering
  • Kalman filtering
  • word2vec
  • 关联规则挖掘
  • MATH-Mathematical Analysis
    • measure
  • MATH-probability
    • Variational Inference
    • Dirichlet分布
    • Gibbs Sampling
    • Maximum entropy probability distribution
    • Conjugate prior
    • Gaussian Process
    • Markov process
    • Poisson process
    • measure
    • Gumbel
  • MATH-Linear Algebra
    • SVD
    • SVD-推荐
    • PCA
    • Linear Discriminant Analysis
    • Nonnegative Matrix Factorization
  • MATH-Convex optimization
    • 梯度下降
    • 随机梯度下降
    • 牛顿法
    • L-BFGS
    • 最速下降法
    • 坐标下降法
    • OWL-QN
    • 对偶问题
    • 障碍函数法
    • 原对偶内点法
    • ISTA
    • ADMM
    • SAG
  • MATH-碎碎念
    • cost function
    • Learning Theory
    • sampling
    • Entropy
    • variational inference
    • basis function
    • Diffie–Hellman key exchange
    • wavelet transform
    • 图
    • Portfolio
    • 凯利公式
  • ML碎碎念
    • 特征
    • test
    • TF-IDF
    • population stability index
    • Shapley Values
  • 课件
    • xgboost算法演进
  • Time Series
  • PID
  • graph
    • SimRank
    • community detection
    • FRAUDAR
    • Anti-Trust Rank
    • Struc2Vec
    • graph theory
    • GNN
  • Anomaly Detection
    • Isolation Forest
    • Time Series
  • Dimensionality Reduction
    • Deep Embedded Clustering
  • Federated Learning
  • automl
  • Look-alike
  • KNN
  • causal inference
Powered by GitBook
On this page

Was this helpful?

Clustering

PreviousxdeepFMNextBIRCH

Last updated 4 years ago

Was this helpful?

tSEN

SEN (stochastic neighbor embedding)

对称SEN

t分布

t分布比正太分布更能捕捉长尾

从SNE到t-SNE再到LargeVis
诠释数据降维算法:一文讲尽t-分布邻域嵌入算法(t-SNE)如何有效利用
t-SNE聚类算法实践指南
机器理解大数据的秘密:聚类算法深度详解
降维打击-观察高维世界
UMAP:比t-SNE更好的降维算法
为什么聚类技术依然是数据挖掘届的泰山北斗?
经典机器学习系列之【聚类分析】
离散,连续,混合型变量的三种聚类分析
OPTICS聚类算法
常用聚类算法综述
密度聚类算法之OPTICS
比elbow方法更好的聚类评估指标
聚类最优K值选取