Applied Unsupervised Learning with R
Alok Malik Bradford Tuckfield更新时间：2021-06-11 13:35:47
最新章节：Chapter 6: Anomaly Detection封面
版权页
Preface
About the Book
Chapter 1 Introduction to Clustering Methods
Introduction
Introduction to Clustering
Introduction to the Iris Dataset
Introduction to k-means Clustering
Introduction to k-means Clustering with Built-In Functions
Introduction to Market Segmentation
Introduction to k-medoids Clustering
Summary
Chapter 2 Advanced Clustering Methods
Introduction
Introduction to k-modes Clustering
Introduction to Density-Based Clustering (DBSCAN)
Summary
Chapter 3 Probability Distributions
Introduction
Basic Terminology of Probability Distributions
Introduction to Kernel Density Estimation
Introduction to the Kolmogorov-Smirnov Test
Summary
Chapter 4 Dimension Reduction
Introduction
Market Basket Analysis
Summary
Chapter 5 Data Comparison Methods
Introduction
Analytic Signatures
Comparison of Signatures
Latent Variable Models – Factor Analysis
Summary
Chapter 6 Anomaly Detection
Introduction
Univariate Outlier Detection
Kernel Density
Summary
Appendix
Chapter 1: Introduction to Clustering Methods
Chapter 2: Advanced Clustering Methods
Chapter 3: Probability Distributions
Chapter 4: Dimension Reduction
Chapter 5: Data Comparison Methods
Chapter 6: Anomaly Detection
更新时间：2021-06-11 13:35:47