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CLUSTER ANALYSIS BY TESTING THE STATISTICAL HYPOTHESIS OF UNIFORMITY
Author(s) -
ŠAFERIS VIKTORAS,
VILKAUSKAS LEONARDAS A.
Publication year - 1996
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19960415)15:7/9<817::aid-sim251>3.0.co;2-2
Subject(s) - statistical hypothesis testing , computer science , cluster (spacecraft) , basis (linear algebra) , data mining , sample (material) , multiple comparisons problem , task (project management) , statistical analysis , algorithm , artificial intelligence , pattern recognition (psychology) , statistics , mathematics , geometry , management , economics , programming language , chemistry , chromatography
This paper presents a cluster algorithm that defines the number of clusters and allows classification of data points. The basic task of the algorithm is to identify accumulations of vectors in the analysis sample of vectors. The accumulations of vectors are determined by testing the statistical hypothesis of uniformity. On the basis of accumulations, clusters are formed.