The Hierarchical Dirichlet Process

GPTKB entity

Statements (54)
Predicate Object
gptkbp:instanceOf Dirichlet Process
gptkbp:allows Flexible Modeling
gptkbp:appliesTo Infinite Mixture Models
gptkbp:developedBy gptkb:Michael_I._Jordan
gptkb:David_M._Blei
gptkb:Alfonso_E._C._G._Teh
gptkbp:hasRelatedPatent gptkb:Recommendation_Systems
Anomaly Detection
Customer Segmentation
Topic_Discovery
gptkbp:hasSpecialty Flexible
Scalable
Robust
Nonparametric
https://www.w3.org/2000/01/rdf-schema#label The Hierarchical Dirichlet Process
gptkbp:isAvenueFor Genomics
Image Segmentation
Document Clustering
Social_Network_Analysis
gptkbp:isBasedOn Bayesian Inference
Dirichlet Process
gptkbp:isCharacterizedBy Hierarchical Structure
Infinite Number of Clusters
gptkbp:isEvaluatedBy Model Selection
Predictive Performance
Posterior Inference
gptkbp:isFacilitatedBy Uncertainty
Complex_Data_Structures
gptkbp:isLocatedIn Python
R
gptkbp:isPartOf Bayesian Statistics
Gaussian Mixture Models
Finite Mixture Models
K-Means_Clustering
gptkbp:isPublishedIn gptkb:Journal_of_Machine_Learning_Research
gptkb:Journal_of_the_American_Statistical_Association
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Analysis
gptkbp:isRelatedTo Latent Dirichlet Allocation
gptkbp:isStudiedIn Artificial Intelligence
Computer Science
Statistics
Data_Science
gptkbp:isUsedIn Machine Learning
Natural Language Processing
gptkbp:isVisitedBy Topic Distributions
Clustering Dendrograms
Hierarchical Trees
gptkbp:provides Hierarchical Clustering
gptkbp:relatedTo Dirichlet Process Mixture Model
Chinese_Restaurant_Process
gptkbp:team New_Data
gptkbp:usedIn Topic Modeling
Bayesian Nonparametrics