The phrase "aspects clusters" is not standard in written English and may cause confusion.
It could be used in a specific context where "aspects" and "clusters" are defined terms, such as in data analysis or research.
Example: "In our study, we identified several aspects clusters that represent different dimensions of the data."
Alternatives: "aspect groups" or "feature clusters".
Sample size calculations for our particular study design need to take into account four aspects: clustering effects resulting from treatment of patients by the same therapist for comparisons with the control arm (hypothesis H2); dilution of the treatment effect resulting from the Zelen design [ 50]; precision gain from baseline adjustment; and loss to followup.
Since that nationally accepted forest mask does not admit auxiliary information, such as vegetation index, elevation or aspect, clustered random sampling with uniform probability on the area of interest covered with LiDAR was used.
It is also arguable that for the type of analyses presented – particularly the multi-dimensional aspect– clustering is of far less concern than in other types of traditional statistical analyses.
Abundant typical benchmark data sets are testified to evaluate the performance of the brought up algorithms compared with other clustering algorithms in both aspects of clustering quality and time complexity.
Given its potential, a large number of research studies focus on several aspects of cluster analysis; for instance, clustering algorithms and extensions for particular data type [31], dissimilarity (or distance) metric [32], optimal cluster number [33], relevance of data attributes per cluster [34], evaluation of clustering results [35], and cluster ensembles [36].
It is robust to the combination of the five conventional aspects of clustering, and also correctly penalizes the common errors in stream clustering.
The information from spatiogenetic cluster analyses and analyses of spatiogenetic distribution parameters will be combined in order to detect more pervasive aspects of cluster structure.
My current research focuses on combinatorial aspects of cluster varieties, in particular Grassmannians and Lagrangian Grassmannians.
This chapter deals with various aspects of cluster sampling such as estimation of the population total and mean under various sampling schemes.
There are, in general, two "rotation" aspects to cluster rotation.
