An Alternative Definition for "Neighborhood of a Point"

Authors:
J. F. O'Callaghan
Affiliations:
Division of Computing Research, Commonwealth Scientific and Industrial Research Organization
Venue:
IEEE Transactions on Computers
Year:
1975

Citing 3
Cited 3

Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters

IEEE Transactions on Computers
Clustering Using a Similarity Measure Based on Shared Near Neighbors

IEEE Transactions on Computers
A Nonparametric Valley-Seeking Technique for Cluster Analysis

IEEE Transactions on Computers

A prototype classification method and its use in a hybrid solution for multiclass pattern recognition

Pattern Recognition
A machine learning approach to classify sleep stages of rats

SSIP '09/MIV'09 Proceedings of the 9th WSEAS international conference on signal, speech and image processing, and 9th WSEAS international conference on Multimedia, internet & video technologies
A machine learning approach to classify vigilance states in rats

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	14.98

Visualization

Abstract

The concept of "neighborhood of a point" has been used in various programs for analyzing spatial dot patterns. The common definition based on k-nearest neighbors does not reflect the intuitive cluster associations of certain points in simple patterns. An alternative definition is proposed to reflect such associations more satisfactorily. Its applications includes cluster analysis and descriptive measures for dot patterns.