203 results found.
Year: 2019, Volume: 19, Number: 2
... simple algorithm to implement and has a good efficiency to cluster a dataset with similar For any function f belonging ... and steady regimes are used as feature input of K-means clustering algorithm, in order to classify them between healthy ... faulty conditions (1BRB). The first step in the implementation of K-means algorithm is Figure 3. Block ...
Terms matched: 3 - Score: 70 - 1,378k
Year: 2010, Volume: 10, Issue: 4
... based on the color and shape where Ri belongs to cluster p of the vocabulary and similarities. The color ... of the term content-based image retrieval classification (using k-means clustering) and then applying a (CBIR) in ... is represented by N values set into groups (named clusters) of similar data. The {V1, ...
Terms matched: 3 - Score: 70 - 1,904k
Year: 2016, Volume: 16, Number: 1
... lot of sensor networks (WSNs). Therefore, cluster heads (CHs) energy and use up their ... deployment we discuss related work in the area of the clustering and strategy to determine the locations and minimum number ... of a large number of sensor nodes in proposed a cluster-based routing scheme in rectangle locations difficult to access, ...
Terms matched: 3 - Score: 69 - 1,201k
Year: 2009, Volume: 9, Issue: 3
... called model-free or qualitative contains feature extraction module, feature cluster module and methods [6]. In this ... of the fault as shown in Figure quickly. Fuzzy clustering can not only extract features from 12. Voltage ... V) is applied seldom to the system when fault raw data directly, but also select the optimal feature ...
Terms matched: 3 - Score: 54 - 516k
Year: 2015, Volume: 15, Number: 3
... works pay little attention to combining geocompution (HPC) cluster with large amount of CPUs, memory, hard ... data manager, which implements: workflow system over HPC clusters. The first and foremost, large-scale dataset storing ... and J. Li, "A new framework of cluster-based parallel spatial analysis algorithms, geographical data management, ...
Terms matched: 3 - Score: 51 - 1,662k
Year: 2022, Volume: 22, Number: 2
... proposed for performing semantic segmentation by directly is used to cluster refined embeddings to obtain the final processing points [ ... excellent instance predictions. PointGroup [18] proposed a clustering models for instance segmentation were proposed. The algorithm ... neural networks. This segmentation. They predict instances as clusters in feature module utilizes a similarity matrix calculated from ...
Terms matched: 3 - Score: 46 - 3,253k
... procedure reduces the data dimensionality, remove is the k-means clustering algorithm [34-35]. There are redundant or ... filter resulted in further improvement on the visibility of the clusters of microcalcifications, allowing a detailed study of their ... detection of Zwiggelaar. "Topological Modeling and Classification of clustered microcalcifications in digital mammograms using Mammographic Microcalcification Clusters" ...
Terms matched: 3 - Score: 38 - 791k
Year: 2018, Volume: 18, Number: 2
... for a RFF Neural Network that improves the quality of cluster analysis. aims to build a predictive model. ... even mixtures of PCA [7]. Other two-level clustering: a SOM clusters [18] at the ... results. involves PCA and self-organizing map (SOM) clusters in order to produce better learner models. They ...
Terms matched: 3 - Score: 37 - 1,274k
Year: 2018, Volume: 18, Number: 4
... RELATED WORK system that needs only a single traversal. Clustering is another approach used by some authors to In ... having common ratings with especially when the distribution of the clusters is not the active user. regular. S ... set of users who have systems by proposing a k-means clustering-based common ratings with user ua with a cardinality M ...
Terms matched: 3 - Score: 34 - 1,373k
Year: 2018, Volume: 18, Number: 2
... , enabling high bandwidth communication for systems inside a single cluster in the NoC layer. ENoC is designed for ... shows the simulation results using real data; performance for clusters of SoCs by expanding resources Section V contains the ... work and an analysis between attaching multiple sub-NoCs. However, it requires a them and the presented architecture; ...
Terms matched: 3 - Score: 32 - 1,316k