Conceptual Clustering: Inventing Goal Oriented Classifications of Structured Objects

by: RE Stepp, RS Michalski

edited by: Carbonell, TM Mitchell

(1986), pp. 471-498.

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Abstract

INTRODUCTION Creating a classification is typically the first step in developing a theory about a collection of observations or phenomena. This process is a form of learning from observation (learning without a teacher), and its goal is to structure given observa- tions i.nto a hierarchy of meaningful categories. The problem of automatically ereat ing such a hierarchy has so far received little attention in AI. Yet creating classifications is a very basic and widely practiced intellectual...

@inbook{citeulike:2815552, abstract = {INTRODUCTION Creating a classification is typically the first step in developing a theory about a collection of observations or phenomena. This process is a form of learning from observation (learning without a teacher), and its goal is to structure given observa- tions i.nto a hierarchy of meaningful categories. The problem of automatically ereat ing such a hierarchy has so far received little attention in AI. Yet creating classifications is a very basic and widely practiced intellectual...}, address = {Los Altos, CA}, author = {Stepp, R. E. and Michalski, R. S. }, booktitle = {Machine Learning: An Artificial Intelligence Approach, Volume II}, citeulike-article-id = {2815552}, editor = {Carbonell and Mitchell, T. M. }, keywords = {clustering, conceptual}, pages = {471--498}, posted-at = {2008-05-20 11:11:35}, priority = {2}, publisher = {Morgan Kaufmann}, title = {Conceptual Clustering: Inventing Goal Oriented Classifications of Structured Objects}, url = {http://citeseer.ist.psu.edu/530931.html}, year = {1986} }

RIS record

TY - CHAP ID - citeulike:2815552 L3 - citeulike-article-id:2815552 TI - Conceptual Clustering: Inventing Goal Oriented Classifications of Structured Objects T2 - Machine Learning: An Artificial Intelligence Approach, Volume II SP - 471 EP - 498 AD - Los Altos, CA PB - Morgan Kaufmann N2 - INTRODUCTION Creating a classification is typically the first step in developing a theory about a collection of observations or phenomena. This process is a form of learning from observation (learning without a teacher), and its goal is to structure given observa- tions i.nto a hierarchy of meaningful categories. The problem of automatically ereat ing such a hierarchy has so far received little attention in AI. Yet creating classifications is a very basic and widely practiced intellectual... KW - clustering KW - conceptual AU - Stepp, RE AU - Michalski, RS A2 - Carbonell A2 - Mitchell, TM PY - 1986/// UR - http://citeseer.ist.psu.edu/530931.html ER -

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