Predictive Clustering
portes grátis
Predictive Clustering
Zenko, Bernard; Blockeel, Hendrik; Dzeroski, Saso; Struyf, Jan
Springer-Verlag New York Inc.
04/2025
240
Dura
Inglês
9781461411468
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Introduction.- What is predictive clustering?.- Motivation: A variety of predictive learning tasks.- Some basic approaches to prediction and clustering.- Formalizing predictive clustering.- Predictive clustering trees.- Predictive clustering rules.- Distances and prototype functions.- Predictive Clustering with Constraints.- Relational PCTs.- Applications in environmental sciences.- Applications in bioinformatics.- Clus
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Data mining;Machine learning;Predictive clustering;analysis of remote sensing data;bio-informatics;classification;clustering;clustering time-series data;eco-informatics;ecological modeling;environmental quality classification;gene expression data analysis;habitat modeling;hierarchical classification;learning algorithms;multi-label classification;multi-target learning;multi-task learning;predicting gene function;regression;rule learning;species distribution;structured output prediction;tree learning
Introduction.- What is predictive clustering?.- Motivation: A variety of predictive learning tasks.- Some basic approaches to prediction and clustering.- Formalizing predictive clustering.- Predictive clustering trees.- Predictive clustering rules.- Distances and prototype functions.- Predictive Clustering with Constraints.- Relational PCTs.- Applications in environmental sciences.- Applications in bioinformatics.- Clus
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Data mining;Machine learning;Predictive clustering;analysis of remote sensing data;bio-informatics;classification;clustering;clustering time-series data;eco-informatics;ecological modeling;environmental quality classification;gene expression data analysis;habitat modeling;hierarchical classification;learning algorithms;multi-label classification;multi-target learning;multi-task learning;predicting gene function;regression;rule learning;species distribution;structured output prediction;tree learning
