First, an agglomerative
hierarchical clustering procedure using the centroid method and Squared Euclidean distance was used to determine if common decision-making strategies existed among couples when making joint likelihood ratings for movies to view together.
Next, the economist performs agglomerative
hierarchical cluster analysis using the Lance and Williams non-metric dissimilarity measure for binary data and the average linkage between groups clustering technique.
2) The space complexity of agglomerative
algorithms is O([n.
Likewise, extending the argument from a bounded linear market to a two-dimensional frame of reference lends scant support for Hotelling's agglomerative
Our findings for the Southeast show that (1) with the occasional exceptions of transportation, utilities, and tourism, there are few basic service exports out of rural counties; (2) there is no sign of a developing class of footloose industries when service industries are examined at the two-digit level; (3) there are few purely residentiary services in the hierarchy, as only banking and food stores are frequently found in this role, and (4) there are strong agglomerative
economies which dominate trading patterns within the rural hierarchy of places, i.
hierarchical clustering is used from the bottom to the strategy.
A dendrogram was generated with the SAHN (Sequential, Agglomerative
, Hierarchical Nested) clustering method, a program (Rohlf, 1998) of NTSYS-PC (Numerical Taxonomic System, version 2.
In relation to the establishment of similar groups, the agglomerative
hierarchical clustering method of optimization proposed by Tocher was applied, whose calculations were equally based on Mahalanobis generalized distance ([D.
At each agglomerative
stage, clusters are produced by merging or retaining the clusters produced at the immediate previous stage, where clusters at the initial stage may simply be taken to be those individual data points.
Each preference set vector is assigned to a cluster within a hierarchical agglomerative
clustering procedure in which, cyclically, the two clusters with smallest distance in the conceptual space are merged.
, hierarchical and non-overlapping clustering methods.
As such, the use of multivariate statistical analysis such as hierarchical agglomerative
cluster analysis (HACA), discriminate analysis (DA), principal component analysis (PCA) together with factor analysis (FA) and modeling such as artificial neural network (ANN), multiple linear regression model (MLR) will enable us reduce the dimensionality of the data as well as extract meaningful statistical findings [21,22,23,24,25,26].