Examples of using Cluster analysis in English and their translations into Indonesian
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Cluster analysis is possible.
Conduct informal factor and cluster analysis by.
A cluster analysis revealed there were two clusters with different ideal product profiles.
Data were analyzed using hierarchical cluster analysis.
A cluster analysis revealed there were two clusters with different ideal product profiles.
They are also useful for doing cluster analysis or hotspot analysis. .
In other words, cluster analysis simply discovers structures in data without explaining why they exist.
Multivariate analysis including factor analysis, cluster analysis, correspondence analysis; .
Cluster analysis is an exploratory data analysis tool for solving classification problems.
Multivariate Analysis- includes factor analysis, cluster analysis, correspondence analysis, etc.
Applications for cluster analysis include gene sequence analysis, market research, and object recognition.
Various statistical analysis functions are also available such as co-occurrence network, multidimensional scaling,hierarchical cluster analysis, and correspondence analysis of words.
In some situations, cluster analysis is only appropriate when the clusters are approximately the same size.
It has a very broad range of applications from the relatively simple like calculating frequencies and creating lists and charts through to the far more advanced like variance analysis, multivariate statistical analysis and cluster analysis.
Cluster analysis refers to forming group of objects that are very similar to each other but are highly different from the objects in other clusters. .
It can run various statistical tests along with cluster analysis(K-means/K-medians Ward's method) and PCA(principal component analysis). .
Cluster analysis aims at identifying groups of similar objects and, therefore helps to discover distribution of patterns and interesting correlations in the data sets.
It may also meanusing other advanced analytical techniques, such as cluster analysis, to group clients based on similarities across multiple data points.
On PET scans, cluster analysis can be used to differentiate between different types of tissue and blood in a three-dimensional image.
Or, it could meanusing other advanced analytics techniques, like cluster analysis, to group customers based on similarities across several data points.
The results of cluster analysis may contribute to the definition of a formal classification scheme, such as a taxonomy for related animals, insects or plants;
Last but not least is predictive analytics where application of techniques like statistical analysis, regression analysis, correlation analysis, cluster analysis, social media analytics etc., are applied for new product development.
The term cluster analysis(first used by Tryon, 1939) encompasses a number of different algorithms and methods for grouping objects of similar kind into respective categories.
The tutorial starts off with a basic overview and the terminologies involved in data mining and then gradually moves on to cover topics such as knowledge discovery, query language, classification and prediction,decision tree induction, cluster analysis, and how to mine the Web.
This cluster analysis gives you more clearly delineated segments and it can give you ideas on how you can communicate with your target audience via your promotional efforts.
On morphological differences between the Assamese and Chinese varieties, botanists have long asserted a dual botanical origin for tea; however,statistical cluster analysis, the same chromosome number(2n=30), easy hybridization, and various types of intermediate hybrids and spontaneous polyploids all appear to demonstrate a single place of origin for Camellia sinensis-the area including the northern part of Burma, and Yunnan and Sichuan provinces of China.
Cluster analyses data objects without consulting a known class label.
Using a statistical clustering analysis[5], we identified three ideological groups in the United States that share common attitudes and values, regardless of voting history or political party preferences.
On the other side, the clustering analysis and the presentation of the global evolution of social and economic environment has also determined a strong relation between the human development within a country and its economic development.