Examples of using Cluster analysis in English and their translations into Hungarian
{-}
-
Colloquial
-
Official
-
Medicine
-
Ecclesiastic
-
Financial
-
Programming
-
Official/political
-
Computer
ACAS(adaptive cluster analysis system).
Cluster analysis identifies three groups.
Keywords: wine distribution, sales problems, cluster analysis, plant size.
So I ran a cluster analysis on the student files of our three victims--.
A typical algorithm is one based on centroids butmany other types of cluster analysis are used in machine learning.
Cluster analysis is fundamentally a dimensionality reduction technique.
InStat also does not perform logistic regression, stepwise multiple regression,factor or cluster analysis, or ANCOVA.
Cluster analysis and Factor analysis are often confused.
The three implemented algorithms are the distance based Exact-Storm and the cluster analysis using Korm and DenStream.
Also includes Cluster analysis and Principal Component analysis modules-.
The activity and management of the IT Plus Cluster, which mainly represents enterprises in the field of computer and information technology, was analyzed in April this year by the internationally recognized organization, ESCA-European Secretariat for Cluster Analysis, and as a result the Cluster was awarded the Bronze label through the European Cluster Excellence Initiative.
So that, cluster analysis is sometimes defined as unsupervised Classification.
After data structuring and using the proper statistical method(cluster analysis), we can explore typical patterns, with the help of which we can define groups specified by particular criteria.
Cluster analysis as such is not an automatic task, but an iterative process of knowledge discovery or interactive multi-objective optimization that involves trial and failure.
The research foci of the Statistics area are Bayesian statistics,missing data problems, cluster analysis, semiparametric models, data mining, sequential analysis, stochastic control, financial time series modelling, statistical methods for risk management and nonlinear time series.
Cluster Analysis- This statistical procedure is used to separate objects into specific groups that are mutually exclusive but also relatively homogeneous in a constitution.
In data processing, factor- and cluster analysis were used to segment consumers based upon how they consider the use of food supplements.
Cluster Analysis- This procedure is used to separate objects into a specific number of groups that are mutually exclusive but also relatively homogeneous in the constitution.
The European Secretariat for Cluster Analysis(ESCA) gave the Gold Label to the Southern Great Plain region's innovative, buliding trade and renewable energy cluster. .
Both cluster analysis and discriminant analysis are concerned with classification.
Some time cluster analysis is only a useful initial stage for other purposes, such as data summarization.
To that end, cluster analysis has been applied to find patterns in the atmospheric pressure of polar regions and areas of the ocean that have a significant impact on land climate.
Contrary to that, cluster analysis seeks the mathematical possibility of classification without any direct goals, after the associations that are hard to distinguish from the suspicion of the Vonnegut-syndrome.
The article"Cluster analysis of multiplex networks: Defining composite network measures" by András Vörös and Tom Snijders has been published in Social Networks and is available online at.
Agent-based simulation, cluster analysis, discriminant analysis, non-linear regression, time series analysis, neuro fuzzy methods and support vector machines were the foreseen candidates for the selection.
Cluster analysis can be used to analyse patterns of antibiotic resistance, to classify antimicrobial compounds according to their mechanism of action, to classify antibiotics according to their antibacterial activity.
Cluster analysis is often an iterative process in which different criteria are applied to determine where boundaries form between clusters and how closely related data points within a single cluster need to be.
Market researchers use cluster analysis to partition the general population of consumers into market segments and to better understand the relationships between different groups of consumers/potential customers, and for use in market segmentation, product positioning, new product development and selecting test markets.
We also performed discriminance and cluster analyses(IBM-SPSS), as well as XY diagram analysis(Microsoft Excel).