agglomerative


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ag·glom·er·ate

 (ə-glŏm′ə-rāt′)
tr. & intr.v. ag·glom·er·at·ed, ag·glom·er·at·ing, ag·glom·er·ates
To form or collect into a rounded mass.
adj. (-ər-ĭt)
Gathered into a rounded mass.
n. (-ər-ĭt)
1. A confused or jumbled mass; a heap.
2. A volcanic rock consisting of rounded and angular fragments fused together.
[Latin agglomerāre, agglomerāt-, to mass together : ad-, ad- + glomerāre, to form into a ball (from glomus, glomer-, ball).]
ag·glom′er·a′tive (-ə-rā′tĭv, -ər-ə-tĭv) adj.
ag·glom′er·a′tor n.
American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.
ThesaurusAntonymsRelated WordsSynonymsLegend:
Adj.1.agglomerative - clustered together but not coherent; "an agglomerated flower head"
agglomerate, agglomerated, clustered
collective - forming a whole or aggregate
Based on WordNet 3.0, Farlex clipart collection. © 2003-2012 Princeton University, Farlex Inc.
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References in periodicals archive ?
Agglomerative Hierarchical Clustering (AHC) was done by using Pearson Correlation Coefficient and Unweighted Pair Group Method with Arithmetic Mean (UPGMA) as Agglomeration method by XLSTAT 2012 version 1.02.
CLUSTERING ANALYSIS FOR INTRASPECIFIC VARIATION STUDIES AMONGST THE POPULATIONS OF CIRRHINUS MRIGALA
agglomerative factors--particularly information spillovers between
City unplanning
Elsewhere, coordinated inventory strategies for items in each cluster were determined using Genetic stepwise clustering and statistical agglomerative clustering methods [6].
A two-product inventory model with a joint ordering policy
Although other K-means clustering methods exist (e.g., extended K-means, agglomerative hierarchical, and fuzzy maximum likelihood), the fuzzy K-means clustering technique has been demonstrated to produce the most accurate results in reproducing the characteristics of input data (Duda and Canty 2002).
Mapping the porosity of international border to pedestrian traffic: a comparative data classification approach to a study of the border region in Austria, Italy, and Slovenia
Agglomerative cluster analysis based on the Bray-Curtis similarity coefficients was also calculated and the similarities at 40 % and 75 % were overlain on the ordination.
Aquatic invertebrate communities of perennial pans in Mpumalanga, South Africa: a diversity and functional approach
An agglomerative, hierarchical cluster analysis was conducted on juvenile oyster data from each bar to determine whether particular groups of bars experienced similar juvenile oyster abundance.
Long-term (1939 to 2008) spatial patterns in juvenile eastern oyster (Crassostrea virginica, Gmelin 1791) abundance in the Maryland portion of Chesapeake Bay
ROCK (Guha, 1999), a Robust hierarchical-clustering algorithm is an agglomerative hierarchical clustering based on the notion of links.
Overcoming the problem of different density-regions using the Inter-Connectivity and the Closeness
In the agglomerative method of forming clusters, the computer generates clusters that get progressively larger, ultimately getting to a single large cluster comprising all cases.
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Globalization has been accompanied by the assertion and reassertion of agglomerative tendencies in many different areas of the world.
Economic explanations for law and organization
The similarity of the floristic composition was compared among plots through an agglomerative hierarchical cluster analysis using a matrix of Bray-Curtis coefficients.
Floristic composition and structure of a tropical dry forest at different successional stages in the Espinhaco Mountains, Southeastern Brazil/ Composicion y estructura floristica de una selva tropical seca en diferentes estadios sucesionales en la Cordillera del Espinazo, Sudeste del Brasil/ Composicao e estrutura floristica de uma floresta tropical seca em diferentes estagios sucessionais na Cadeia do Espinhaco, sudeste do Brasil
This can be achieved by a simple agglomerative clustering method.
Color image segmentation: a state of the art survey
To overcome this, the proposed technique uses an agglomerative clustering algorithm to group the likelihood into a number of clusters, each representing similar groups of data, with a distinct state from the other clusters' data.
A dynamic machine learning-based technique for automated fault detection in HVAC systems

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