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Factors of bio-rhythms and applications to *PCA

Abstract

In this note, authors target at, using PCA, identifying new variables of Bio-rhythms which shade dominance in the total spectrum of successful orientation. The important feature is the post analysis on the restructured variables and derived data based on PCA* and its orientation the perpendicular frame of Eigen vectors. The important point, at this stage, is to observe and study the impact of data corresponding eradicated variables on the data of existing variables.

Scientific Research and DiscoveriesAdvanced Computational Techniques and ApplicationsPrincipal component analysisOrientation (vector space)Pattern recognition (psychology)RhythmArtificial intelligenceDominance (genetics)MathematicsComputer scienceStatisticsBiology
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Factors of bio-rhythms and applications to *PCA · Scinovex