In hierarchical clustering, observations start in their own cluster then observations are iteratively combined based on a specific dissimilarity measurement. Consider the following statements about the agglomerative methods for measuring dissimilarity between observations. Indicate which of the following statements are TRUE in regards to single linkage. (Hint see page • Statement A. Single linkage (nearest neighbor) will consider merging two clusters when an observation in a cluster is close to at least one observation from the other cluster. [Select ] Statement B. Complete linkage (farthest neighbor) merges two clusters if the distance between observations that are most different are relatively close to each other. (Select ) • Statement C. With only two variables, complete linkage may result in long elongated clusters instead of compact circular clusters. [ Select ) • Statement D. Clusters produced by single linkage have approximately equal diameters. I Select ) [ Select )

In hierarchical clustering, observations start in their own cluster then observations are iteratively combined based on a specific dissimilarity measurement. Consider the following statements about the agglomerative methods for measuring dissimilarity between observations. Indicate which of the following statements are TRUE in regards to single linkage. (Hint see page • Statement A. Single linkage (nearest neighbor) will consider merging two clusters when an observation in a cluster is close to at least one observation from the other cluster. [Select ] Statement B. Complete linkage (farthest neighbor) merges two clusters if the distance between observations that are most different are relatively close to each other. (Select ) • Statement C. With only two variables, complete linkage may result in long elongated clusters instead of compact circular clusters. [ Select ) • Statement D. Clusters produced by single linkage have approximately equal diameters. I Select ) [ Select )

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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Question

In hierarchical clustering, observations start in their own cluster then observations are iteratively combined based on a specific dissimilarity measurement.
Consider the following statements about the agglomerative methods for measuring dissimilarity between observations. Indicate which of the following statements are TRUE in regards to single linkage. (Hint see page 222 of your text)
• Statement A. Single linkage (nearest neighbor) will consider merging two clusters when an observation in a cluster is close to at least one observation from the other cluster. [Select)
• Statement B. Complete linkage (farthest neighbor) merges two clusters if the distance between observations that are most different are relatively close to each other. ISelect]
• Statement C. With only two variables, complete linkage may result in long elongated clusters instead of compact circular clusters. I Select ]
• Statement D. Clusters produced by single linkage have approximately equal diameters.
[ Select
[ Select ]
FALSE
TRUE

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