Research Paper The reflection of hierarchical cluster analysis of co-occurrence matrices in SPSS Qiuju ZHOU1, Fuhai LENG1† - HSV - Document - PDFSEARCH.IO

First Page		Document Content
Date: 2015-08-18 06:47:22 Multivariate statistics Bioinformatics Matrix theory Factor analysis Matrices SPSS Hierarchical clustering Cluster analysis Matrix Distance matrix Co-occurrence matrix Similarity measure		Research Paper The reflection of hierarchical cluster analysis of co-occurrence matrices in SPSS Qiuju ZHOU1, Fuhai LENG1† & Loet LEYDESDORFF2 National Science Library, Chinese Academy of Sciences, Beijing, Chi Add to Reading List Source URL: 159.226.100.150 Download Document from Source Website File Size: 1.007,42 KB Share Document on Facebook

	Generalizing Language Comparison Michael Cysouw Max Planck Institute for Evolutionary Anthropology, Leipzig The method proposed in the target article by Croft & Poole (henceforth C&P) is an DocID: 1qO46 - View Document
	Joint Similarity Learning for Predicting Links in Networks with Multiple-type Links Majid Yazdani Andrei Popescu-Belis DocID: 1qLRx - View Document
	SIAM J. Matrix Anal. Appl. (SIMAX), 18(1):83–103, 1997 BOUNDS FOR THE COMPONENTWISE DISTANCE TO THE NEAREST SINGULAR MATRIX S. M. RUMP DocID: 1qHdb - View Document
	SIAM Review 41(1):102–112, 1999 ILL-CONDITIONED MATRICES ARE COMPONENTWISE NEAR TO SINGULARITY SIEGFRIED M. RUMP∗ Abstract. For a square matrix normed to 1, the normwise distance to singularity is well known to be eq DocID: 1qB2X - View Document
	Chapter 2 A Theory of Data At first glance, it would seem that we have an infinite way to collect data. Measuring the diameter of the earth by finding the distance to the horizon, measuring the height of waves DocID: 1qspg - View Document