Exeter Software

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SYNTAX 2000 methods

Hierarchical clustering methods

 Distance optimizing combinatorial/agglomerative procedures

bulletSingle link (nearest neighbor)
bulletComplete link (farthest neighbor)
bulletAverage link (UPGMA)
bulletSingle link (WPGMA)
bulletCentroid
bulletMedian
bulletbeta-Flexible
bulletFlexible UPGMA

 Homogeneity-optimizing combinatorial/agglomerative methods

bulletIncremental sum of squares (Ward)
bulletMin. sum of squares in new clusters
bulletIncremental variance
bulletMinimum variance in new clusters
bulletMinimum average distance in new clusters
bulletMinimum increase of average distance
bulletlambda-Flexible

Information theory clustering

bulletMin. pooled entropy in new clusters
bulletMin. increase of pooled entropy
bulletMin. mutual information of vars in new clusters
bulletMin. increase of mutual information
bulletDivision by pooled entropy
bulletDivision by mutual information

 Miscellaneous techniques

bulletGlobal optimization
bulletOrdinal clustering
bulletMinimum spanning trees
bulletNeighbor joining (unrooted, midpoint rooted, outgroup rooted)

 Non-hierarchical clustering (partitioning)

 k-means clustering

bulletInitialization from random or input partitions, random or input seed objects or from farthest points.

 Multiple partitioning

 Quick clustering

bulletAbout 15 coefficients used.

 Global optimization

bulletMore than 30 coefficients used.
bulletInitialization from random or input partitions, random or input seed objects or from farthest points.

 Ordinal clustering

bulletBest suited to ordinal coefficients.

 Fuzzy c-means clustering

bulletTernary plots showing classification for three clusters.
bulletBest method for finding less separated clusters.

 Ordination methods and their options

 Principal components analysis (PCA)

bulletStandardized, centered, non-centered variants.
bulletRohlf, Euclidean and Mahalanobis biplots.

 Principal coordinates analysis (PCoA) and Nonmetric Multidimensional Scaling (NMDS)

bulletMore than 30 coefficients employed.

 Correspondence analysis (CoA)

bulletSymmetric weighting, variables at barycenter of objects or vice versa in joint plots.

 Canonical correspondence analysis (CCoA)

bulletWA scores: Symmetric weighting, variables at barycenter of objects or vice versa.
bulletLC scores.

 Canonical correlation analysis (COR)

 Redundancy analysis (RDA)

 Canonical variates analysis (CVA)

bulletSpherized vs non-spherized scores.
 

Example screen shots for the user interface and graphics windows

 

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e-mail: sales@exetersoftware.com
Phone:
1-631-689-7838, Toll-free within USA: 800-842-5892
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1-631-689-0103,
47 Route 25A, Suite 2, Setauket, NY 11733-2870 USA
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