High-throughput powder diffraction. IV. Cluster validation using silhouettes and fuzzy clustering

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$Data mining / Geostatistics / Fuzzy clustering / Powder diffraction / Silhouette / Statistics / Cluster analysis / Data analysis$ Date: 2013-11-02 09:26:13 Data mining Geostatistics Fuzzy clustering Powder diffraction Silhouette Statistics Cluster analysis Data analysis		High-throughput powder diffraction. IV. Cluster validation using silhouettes and fuzzy clustering Add to Reading List Source URL: journals.iucr.org Download Document from Source Website File Size: 765,13 KB Share Document on Facebook

	COMMISSION ON POWDER DIFFRACTION INTERNATIONAL UNION OF CRYSTALLOGRAPHY http://www.iucr.org/iucr-top/comm/cpd/ NEWSLETTER No. 25, July 2001 http://www.iucr.org/iucr-top/comm/cpd/Newsletters/ DocID: 1uC3s - View Document
	Powder Diffraction r Fo Rietveld Texture Analysis from Synchrotron Diffraction DocID: 1tMbh - View Document
	Powder Diffraction r Fo Rietveld Texture Analysis from Synchrotron Diffraction DocID: 1tCHO - View Document
	Evaluating Data Quality Quality Mark What is a Quality Mark? • A Quality Mark is a reliability index used in Powder Diffraction File (PDF). DocID: 1syMv - View Document
	Figure S1. (Supplementary materials) Aradite prismatic grain 30×20×10 with impurity of wollastonite used for single-crystal XRD investigation. Table S1. Calculated powder diffraction pattern of zadovite (CuK1+2 = 1.540 DocID: 1sk6E - View Document