partitioningAn efficient partitioning algorithm for mixed-mode placement, extended-MFFC-based partitioning, is presented. It combines the bottom-up clustering and the top-down partitioning together. To do this, designers can not only cluster cells considering logic dependency but also partition them ...
Evaluation results show that it provides adequate subsystems for parallel restoration. Unlike some existing partitioning strategies, the proposed strategy can be used to partition a power system into multiple subsystems in a single execution. 展开 ...
Clustering is a promising application area for many fields including data mining, statistical data analysis, pattern recognition, image processing, etc. Partitioning method is a clustering algorithm, which is sensible to initial partitions (values of k), initial values and input sequence. To overcome...
For instance, as a partitioning-based clustering method, Kmeans [7] has its distinctive characteristics of being simple, efficient and user-friendly. Nevertheless, Kmeans suffers from the initialization problem, requires users to pre-define the cluster number, and is only good at detecting spherical...
ClusteringImage Segmentation refers to the process of partitioning an image into non-overlapping different regions with similar attributes, for gray level ... GK Seerha - 《International Journal on Computer Science & Engineering》 被引量: 36发表: 2013年 A Survey on Clustering Based Image Segmentatio...
Data clustering is a machine learning task that aims at partitioning a group of objects into a set of subgroups to achieve both high intragroup and low intergroup similarities. In other words, the members of each group are similar, yet dissimilar to members of the other groups. The set of ...
[1]) and several procedures have been analyzed for splitting tabular data into fragments and subsequently assigning fragments to servers. Other database systems with key-based access (like key-value stores, document databases, or column family stores) use range-based partitioning or consistent ...
Geospatial knowledge graph partitioning provides the foundational support for the distributed storage, management, querying, and reasoning of geospatial knowledge graphs. When executing a distributed query, the query is first decomposed into several subqueries based on the partitioning result. Then, the ...
Partitioning the points based on their hash values leads to locality preserving. Although, in most of the time, the points within a partition are similar with a certain confidence, it is possible that two dissimilar points happen to be hashed in the same partition which is called false ...
Partitioning and hierarchical based clustering: a comparative empirical assessment on internal and external indices, accuracy, and timePartitioning and hierarchical based clustering: a comparative empirical assessment on internal and external indices, accuracy, and timeData miningData...