[PDF] Top 20 Towards Improving Clustering Ants: An Adaptive Ant Clustering Algorithm
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Towards Improving Clustering Ants: An Adaptive Ant Clustering Algorithm
... in clustering problems a data set to be grouped); and (ii) they usually can perform both broad and parallel searches over the space of potential solutions by means of a population (swarm) of candidate ...on ... See full document
12
Evaluation of Bank Slopes Stability Based on Random Ants Clustering Algorithm
... Conventional ants clustering algorithm can get an appropriate result, by simulating the ants’ intelligent behavior of ...of ants clustering algorithm base on random ... See full document
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Rapid Ant based clustering-genetic algorithm (RAC-GA) with local search for clustering problem Pages 435-444 Download PDF
... combinational algorithm called genetic K-means algorithm, which defines a basic mutation operator specific to clustering called distance based ...the clustering problem is proposed by Selim ... See full document
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Clustering and Path Planning for Wireless Sensor Networks Based on Improved Ant Colony Algorithm
... WSN clustering routing scheme first needed to consider improving the utilization of energy and reducing energy ...WSN's clustering routing protocol mechanism would also have different rendering ... See full document
14
PERFORMANCE OF COOPERATIVE COMMUNICATION SYSTEM WITH NETWORK CODING USING SOFTWARE DEFINED RADIO
... the clustering of the cells in the network. Hence we proposed a clustering and localization techniques for improving an efficient energy routing ...an adaptive system for solving these ... See full document
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PREDICTION OF STUDENT ACADEMIC PERFORMANCE USING CLUSTERING
... the clustering analysis in data mining that analyzes the use of k-means clustering algorithm in improving student’s academic performance in higher education and presents k-means ... See full document
7
Online Email Classification Using Ant Clustering Algorithm
... an algorithm, which models the inherent similarity of data objects onto a lower dimensional space, ...AntClass clustering algorithm, which is a combination of an ant colony with the ... See full document
6
Improving on the network lifetime of clustered based wireless sensor network using modified leach algorithm
... called clustering, which is an important ...energy-efficient clustering routing algorithm (Liu, et ...a clustering-based hierarchy protocol that optimizes the energy- efficiency in WSNs is ... See full document
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An Energy Efficient Mechanism using Mutated Bat Algorithm in Wireless Sensor Network
... new algorithm based on the GA was proposed by Abo-Zahhad et ...Genetic Algorithm-based Energy-Efficient adaptive clustering hierarchy Protocol ...for improving the period of stability ... See full document
7
Analysis of Browsing Behaviors with Ant Colony Clustering Algorithm
... Web Mining is the commonly used method to analyze users' browsing behaviors and the pattern, which can be focused on three aspects: Web usage mining, Web content mining, and Web structure mining. Analysis of users' ... See full document
7
Communicating Via Ant Colony Algorithm And Detecting Attackers Through Tracking Program In Manets
... Enhanced Adaptive ACKnowledgment (EAACK) specially designed for MANETs is used for providing secure intrusion-detection system to protect MANET from ...using Ant colony Algorithm which leaves ... See full document
6
An Enhanced Incremental Leader Ant Clustering with Constraints
... leader ants, i.e. an ant colony, and imitates their natural behaviors to form clusters of arbitrary shape gradually, unnecessary to pre-specify the number of ...The algorithm applies information ... See full document
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Ant Clustering Algorithm In Cooperation Of Agents
... the ants are constantly choosing more comfortable and secure environment to sleep ...makes ants to group with those that have similar physiques. Even within an ant group, they like to have familiar ... See full document
6
A Survey of Ant Colony Optimization with Social Network
... by ants in 1000 iteration, next table[1] is about distance between cities and pheromone value, at last graphs [8] with some statistics which shows, ...which ant place randomly on node at starting ant ... See full document
5
Multimodel Document Summarization K-SVM Algorithm
... for clustering documents [2],[4] in large ...DBSCAN algorithm for clustering the documents. The DBSCAN algorithm requires only one input parameter and helps the user in determining the actual ... See full document
5
Selection of Weighting Factors in Weighted Clustering Algorithm in MANET
... weighted clustering algorithm like MWCA(Modified Weighted Clustering algorithm), TRBC(Transmission Range based Clustering Algorithm), MPWCA (Mobility Prediction- based Weighted ... See full document
7
An Approach to Improve Quality of Document Clustering by Word Set Based Documenting Clustering Algorithm
... Document Clustering based on Word Set ...document clustering), a clustering algorithm work with to obtain clustering of comparable quality significantly more efficiently more than the ... See full document
7
Clustering Algorithms for High Dimensional Data – A Survey
... CLIQUE-Clustering in Quest, is the fundamental algorithm used for numerical attributes for subspace clustering. It starts with a unit elementary rectangular cell in a subspace. If the densities ... See full document
6
Clustering Routing Protocol for Energy Efficiency of Wireless Sensor Network using Genetic Algorithm
... As there is no centralized cluster formation mechanism in ‘Power Efficient Gathering in Sensor Information Systems (PEGASIS)’ [11], thus each node has to spend additional energy for performing data aggregation to ... See full document
7
Application of Data Mining in predicting a Course for a Student Based on Previous Records, Financial Status and Personality Traits
... This iterative relocation would now continue from the new partition until no more relocation occurs. However, in this example, the iteration stops, since every data element is now nearer to its cluster mean. Thus, the ... See full document
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