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Classification by clustering using an extended saliency measure
A. Barak,
R. Gelbard
School of Business Administration
Bar-Ilan University
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Scopus citations
Overview
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Dive into the research topics of 'Classification by clustering using an extended saliency measure'. Together they form a unique fingerprint.
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Keyphrases
Saliency Ratio
100%
Clustering Methods
66%
Saliency
66%
Clustering Algorithm
33%
Unsupervised Clustering
33%
Tree Structure
33%
Decision Tree
33%
Classification Task
33%
Data Mining Tasks
33%
Clustering Problem
33%
Task Classification
33%
Bounded Rationality Theory
33%
S-shaped Function
33%
Class Group
33%
Variable Types
33%
Composite Model
33%
Professional Logic
33%
Target Attribute
33%
Computer Science
Saliency Measure
100%
Decision Trees
66%
Clustering Method
66%
Data Mining Task
33%
Target Attribute
33%
Group Potential
33%
Composite Model
33%
Clustering Algorithm
33%
Priori Information
33%
Classification Task
33%