Hybrid Data Fragmentation Using Genetic Killer Whale Optimization-Based Clustering Model
نویسندگان
چکیده
منابع مشابه
Solving Data Clustering Problems using Chaos Embedded Cat Swarm Optimization
In this paper, a new method is proposed for solving the data clustering problem using Cat Swarm Optimization (CSO) algorithm based on chaotic behavior. The problem of data clustering is an important section in the field of the data mining, which has always been noted by researchers and experts in data mining for its numerous applications in solving real-world problems. The CSO algorithm is one ...
متن کاملSolving Data Clustering Problems using Chaos Embedded Cat Swarm Optimization
In this paper, a new method is proposed for solving the data clustering problem using Cat Swarm Optimization (CSO) algorithm based on chaotic behavior. The problem of data clustering is an important section in the field of the data mining, which has always been noted by researchers and experts in data mining for its numerous applications in solving real-world problems. The CSO algorithm is one ...
متن کاملAn Hybrid Technique for Data Clustering Using Genetic Algorithm with Particle Swarm Optimization
Data clustering is useful in several areas such as machine learning, data mining, wireless sensor networks and pattern recognition. The most famous clustering approach is K-means which successfully has been utilized in numerous clustering problems, but this algorithm has some limitations such as local optimal convergence and initial point understanding. Clustering is the procedure of grouping o...
متن کاملNew Optimization Approach Using Clustering-Based Parallel Genetic Algorithm
In many global Optimization Problems, it is required to evaluate a global point (min or max) in large space that calculation effort is very high. In this paper is presented new approach for optimization problem with subdivision labeling method (SLM) but in this method for higher dimensional has high calculation effort. Clustering-Based Parallel Genetic Algorithm (CBPGA) in optimization problems...
متن کاملData Clustering using Genetic Algorithms
This project focus on the problem of data clustering, where the similarity between instances are measured by Euclidean distance metric. Here we include the case where the data dimension, the number of clusters and the size of data set could be very large. Genetic algorithm is used due to its capability to capture the global optimality, leading to a promising empirical performance in the given e...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Pharmaceutical Negative Results
سال: 2022
ISSN: ['0976-9234', '2229-7723']
DOI: https://doi.org/10.47750/pnr.2022.13.s02.39