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partitioning algorithm

Implementation of Multi-Way Partitioning Algorithm

Implementation of Multi-Way Partitioning Algorithm

... two-way partitioning algorithm with constraints on the final subset ...The algorithm applied swapping iterations on all pairs of nodes to find the best improvement on the existing partition, the ...

5

Self organised direction aware data partitioning algorithm

Self organised direction aware data partitioning algorithm

... data partitioning algorithm, named β€œSelf-Organised Direction Aware ...SODA partitioning algorithm takes both the traditional distance metric and the angular similarity into consideration, ...

28

Partitioning Algorithm for the Parametric Maximum Flow

Partitioning Algorithm for the Parametric Maximum Flow

... The article presents an approach to the maximum flow problem in parametric networks with linear capacity functions of a single parameter, based on the concept of shortest conditional augmenting directed path. In order to ...

8

Hardware/Software Partitioning Algorithm Based on Genetic Algorithm

Hardware/Software Partitioning Algorithm Based on Genetic Algorithm

... To improve partitioning quality and algorithm efficiency, we propose a new partitioning algorithm based on GA. In this paper, the concept of hardware orientation is put forward and used in the ...

7

Shuffled Frog Leaping Algorithm for Hardware/Software Partitioning

Shuffled Frog Leaping Algorithm for Hardware/Software Partitioning

... the partitioning algorithm for the HW/SW partitioning ...HW/SW partitioning and task scheduling to reduce the energy consumption ...gence algorithm for the unconstrained design problem ...

9

Algorithm for Linear Number Partitioning into Maximum Number of Subsets

Algorithm for Linear Number Partitioning into Maximum Number of Subsets

... number partitioning problem is to decide whether a given multiset of integers can be partitioned into two "halves" of given cardinalities such that the discrepancy, the absolute value of the difference of ...

6

Article Description

Article Description

... a partitioning based clustering ...a partitioning based clustering algorithm is that it produces a set of flat, structure less, disjoint clusters, which can be treated as classes to which the ...

7

Slop based Partitioning for Vertical Fragmentation in Distributed Database System

Slop based Partitioning for Vertical Fragmentation in Distributed Database System

... Vertical Partitioning is the process of dividing the attributes of a ...Vertical Partitioning puts frequently accessed attributes of the relation together in a ...Vertical Partitioning. In this paper ...

5

Partition of Water Distribution Networks into District Metered Areas Using a Graph Theoretical Approach

Partition of Water Distribution Networks into District Metered Areas Using a Graph Theoretical Approach

... The applied spectral partitioning algorithm is valid for undirected, connected graphs with nonnegative values in the adjacency matrix. A graph is defined as 𝐺𝐺 = (𝑉𝑉, 𝐸𝐸) , where 𝑉𝑉 denotes a set of ...

8

A Comparative study on data mining clustering...

A Comparative study on data mining clustering...

... Initial partitioning of clusters of a database D is done by using partitioning algorithms, by assigning the number of partitions ...performing partitioning algorithm. Partitioning of ...

5

Self organising transparent learning system

Self organising transparent learning system

... data partitioning are closely related and very similar, both of them aim to partition the data into smaller groups using certain types of algorithmic ...data partitioning is that a data partitioning ...

254

Clustering Optimal Algorithm- A Survey

Clustering Optimal Algorithm- A Survey

... schema/ algorithm to find the particular optimal solution for the ...Similarity Partitioning Algorithm (CSPA), Hyper-Graph Partitioning Algorithm (HGPA), Meta Clustering ...

7

New Approach for Range Aggregate Queries in Big Data Environments

New Approach for Range Aggregate Queries in Big Data Environments

... ABSTRACT: Range aggregate queries are nothing but to find certain aggregate function on all kinds of query ranges. Existing approaches to range aggregate queries does not provide accurate results in big data ...

5

COMPARISON AND EVALUATION OF CLUSTER BASED IMAGE SEGMENTATION TECHNIQUES.

COMPARISON AND EVALUATION OF CLUSTER BASED IMAGE SEGMENTATION TECHNIQUES.

... K-Means partitioning algorithm, enhanced K-Means algorithm, Fuzzy c-Means Algorithm, Subtractive Clustering Algorithm and Genetic Algorithm-k-mean (GAKM) according to their ...

10

HAMS, PARALLEL AVERAGE PARTITIONING AND SORTING ALGORITHM

HAMS, PARALLEL AVERAGE PARTITIONING AND SORTING ALGORITHM

... data partitioning is the best way to achieve resource utilization and load balance, in this paper a new partitioning algorithm depends on average called Hams algorithm achieve the nearest data ...

5

Partitioning of Query Processing in Distributed Database System to Improve Throughput

Partitioning of Query Processing in Distributed Database System to Improve Throughput

... graph partitioning to partition the task of query to optimize the throughput on distributed ...avoidance partitioning (CA) algorithm to optimize the throughput and query execution (parallel) ...

7

Intelligent Data Aggregation and Merging Algorithms for Secured Storage of Medical Information in Cloud

Intelligent Data Aggregation and Merging Algorithms for Secured Storage of Medical Information in Cloud

... namely Algorithm for Data Hiding based Aggregation (ADHA), Data Partitioning Algorithm (DPA) and Data Merging Algorithm (DMA) for effective ...

6

An efficient clustering algorithm for partitioning Y short tandem repeats data

An efficient clustering algorithm for partitioning Y short tandem repeats data

... Efforts to group Y-STR data based on genetic distances have recently been reported. For example, Schlecht et al . [12] used machine learning techniques to classify Y-STR fragments into related groups. Furthermore, Seman ...

13

Incremental Graph Partitioning Based on MapReduce

Incremental Graph Partitioning Based on MapReduce

... this algorithm, i need to reiterate several preconditions and introduce a few concepts and ...dynamic partitioning, we partition the original graph into a specified partition by static graph ...

6

The extensible runtime infrastructure for particle simulations with data-space management and adaptive resource allocation.

The extensible runtime infrastructure for particle simulations with data-space management and adaptive resource allocation.

... which algorithm system us to make ...over-partitioning algorithm; if it is zoltan, the adaptation will be done by using a partitioning algorithm from the Zoltan library to partition ...

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