Sentence examples for more similar objects from inspiring English sources

In a topological mapping, neighboring clusters represent more similar objects than distant clusters.

Each comparison involves a distance calculation using the distance measure specified by the user, where short distances correspond to more similar objects.

The distance between two feature vectors quantitatively represents the dissimilarity between their corresponding shapes; the more similar the objects are, the lower the dissimilarity score, and a score of zero indicates that the two shapes are identical [2].

In an experiment in which participants had to rate whether a target object was more similar to an object that matched its global features or an object that matched its local features, participants in a negative mood showed a bias for the local features, whereas participants in a positive mood showed a bias for global features [11].

Clustering is an unsupervised data mining technique whose main task is to group the data objects into different clusters such that objects within a group are more similar than the objects in other clusters.

Clustering refers to the grouping of objects into clusters, such that the objects within the same cluster are more similar compared with objects in different clusters.

A low score represents more similar time series objects while higher score represents dissimilar time series objects.

Clustering algorithms aim at partitioning an initial set of objects into disjoint groups (clusters) such that that objects in the same subset are more similar to each other than objects in different groups.

"This is about making your interactions with spaces and objects more similar to your interaction with people and friends," he says.

Moreover, the structure of representations (i.e. the pattern of similarity between responses to all objects) was more similar during imagery than perception in all regions along the visual stream.

Clustering is one of the common techniques for data to categorize groups of similar objects, or more precisely, the partitioning of a data set or a subset of a cluster so that each cluster of data in a series has common features.