A performance comparison of using principal component analysis and ant clustering with fuzzy c-means and k-harmonic means

Several clustering researches focus on the idea for achieving the optimal initial set of clusters before performing further clustering. This may be accomplished by performing two-level clustering. However, such an idea may possibly not either significantly improve the accuracy rate or well alleviate...

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Bibliographische Detailangaben

Hauptverfasser:	Julrode, P., Supratid, S., Suksawatchon, U.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithm design and analysis ant clustering Clustering algorithms Eigenvalues and eigenfunctions fuzzy c-means k-harmonic means Linear programming Noise measurement Principal component analysis Runtime
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