itarticle algorithms for big data 1 Introduction 2 Estimating Number of Distinct Elements in a Stream 3 Estimating F_k norms via AMS sampling 4 Estimating F_2 norm, Sketching, Johnson-Lindenstrauss Lemma 5 Estimating F_p norm for % 0
itarticle geometric approximation algorithms 2 Quadtrees – Hierarchical Grids 3 Well Separated Pairs Decomposition 4 Clustering – Definitions and Basic Algorithms 5 On Complexity, Sampling, and epsilon-Nets and epsilon-Samples 0
![algorithms for big data 1 Introduction 2 Estimating Number of Distinct Elements in a Stream 3 Estimating F_k norms via AMS sampling 4 Estimating F_2 norm, Sketching, Johnson-Lindenstrauss Lemma 5 Estimating F_p norm for % <![CDATA[ 0 < p < 2 %]]>, Misra-Greis algorithm for frequent items](https://www.dazhuanlan.com/webchat.jpg)