Sentence examples for aspect clustering from inspiring English sources

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.

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.

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.

However, insofar as the phenomenon of receptor clustering has been implicated in regulating cellular processes as fundamental as cell signaling and receptor sensitivity, it will be important for us to clearly specify what aspect of "clustering" we are talking about when we come to further analyze the role that clustering plays in cadherin biology.

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.

Numerous bits are reserved to capture ring aspects: clusters of rings are detected and aspects of these clusters are fingerprinted, like the occurrence of a ring size three attached to a ring size five.

The experiments in [28], however, are limited to very simple toy datasets reflecting only one clustering aspect at a time.

Next, several aspects were clustered at a higher aggregation level and made operational.

The aim of this paper is to alleviate the undesirable behavior of the EA when dealing with clustered routing problem in WSN by formulating a new fitness function that incorporates two clustering aspects, viz.

To make it more realistic, we use a data stream reflecting five conventional clustering aspects at the same time.

In the k-means-based case, we performed a set of clustering validation experiments that well reflect the properties of streaming environment with five common clustering aspects at the same time.