Skip to main navigation
Skip to search
Skip to main content
Columbia University Home
Help & FAQ
English
Français
Español
Home
Profiles
Research units
Research output
Equipment
Datasets
Projects & Clinical Trials
Activities
Prizes
Courses
Student theses
Search by expertise, name or affiliation
Statistical and Computational Tools for Analyzing High-Dimensional Heterogeneous Data
Wang, Kaizheng
(PI)
Columbia University
Project
:
Research project
Overview
Fingerprint
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Engineering
Dimensional Data
100%
Cutting Edge
100%
Statistical Error
100%
Joints (Structural Components)
100%
Error Bound
100%
Relational
100%
Iteration Convergence
100%
Observed Data
100%
Building Block
100%
Computer Science
Latent Structure
100%
Heterogeneous Data
100%
Social Network
66%
Data Integration Strategy
33%
Building-Blocks
33%
Intrinsic Structure
33%
Relational Data
33%
Personal Attribute
33%
Modern Technology
33%
Open Source Software
33%
Throughput Data
33%
Scientific Study
33%
High Throughput
33%
High Dimensional Data
33%
Individual Object
33%
Interdisciplinary Research
33%