Which statement best describes k-means cluster analysis? It is the process of estimating the value of a continuous outcome variable. It is the process of organizing observations into distinct groups based on a measure of similarity or dissimilarity. It is the process of reducing the number of variables to consider in data-mining. It is the process of agglomerating observations into a series of nested groups based on a measure of similarity or dissimilarity.
Which statement best describes k-means cluster analysis? It is the process of estimating the value of a continuous outcome variable. It is the process of organizing observations into distinct groups based on a measure of similarity or dissimilarity. It is the process of reducing the number of variables to consider in data-mining. It is the process of agglomerating observations into a series of nested groups based on a measure of similarity or dissimilarity.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Transcribed Image Text:Which statement best describes k-means cluster analysis?
It is the process of estimating the value of a continuous outcome variable.
It is the process of organizing observations into distinct groups based on a
measure of similarity or dissimilarity.
It is the process of reducing the number of variables to consider in data-mining.
It is the process of agglomerating observations into a series of nested groups
based on a measure of similarity or dissimilarity.
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