Search Results - "partitional clustering algorithms"

Robust hesitant fuzzy partitional clustering algorithms and their applications in decision making by Chao, Kun, Zhao, Hua, Xu, Zeshui, Cui, Feng

“… After pointing out the weakness of the existing partitional clustering algorithms between HFSs, we modify the existing partitional clustering algorithms and propose four new algorithms with two types…”
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A New Approach to Define the Number of Clusters for Partitional Clustering Algorithms by Huliane Silva, Benjamın Ren Callejas Bedregal, Anne Canuto, Thiago Batista, Ronildo Moura

“…‎Data clustering consists of grouping similar objects according to some characteristic‎. ‎In the literature‎, ‎there are several clustering algorithms‎, ‎among…”
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MapReduce-Based Crow Search-Adopted Partitional Clustering Algorithms for Handling Large-Scale Data by Karthikeyani Visalakshi N, Shanthi S, Lakshmi K

“…Cluster analysis is the prominent data mining technique in knowledge discovery and it discovers the hidden patterns from the data. The K-Means, K-Modes and…”
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A new validity index for evaluating the clustering results by partitional clustering algorithms by Yue, Shihong, Wang, Jianpei, Wang, Jeenshing, Bao, Xiujuan

“…Partitional clustering algorithms are the most widely used approach in clustering problems…”
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Partitional clustering algorithms for symbolic interval data based on single adaptive distances by De Carvalho, Francisco de A.T., Lechevallier, Yves

“…This paper introduces dynamic clustering methods for partitioning symbolic interval data. These methods furnish a partition and a prototype for each cluster by…”
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MapReduce Based Crow Search Adopted Partitional Clustering Algorithms For Handling Large Scale Data

“…Cluster analysis is the prominent data mining technique in knowledge discovery and it discovers the hidden patterns from the data. The K-Means, K-Modes and…”
Get full text

Color image segmentation by partitional clustering algorithms by Ojeda-Magana, B, Ruelas, R, Quintanilla-Dominguez, J, Andina, D

“…This paper presents the results of some partitional clustering algorithms applied to the segmentation of color images in the RGB space…”
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EXTENSIONS TO THE K-AMH ALGORITHM FOR NUMERICAL CLUSTERING by Seman, Ali, Mohd Sapawi, Azizian

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Geometric double-entity model for recognizing far-near relations of clusters by Wang, KaiJun, Yan, XuanHui, Chen, LiFei

“…When solving many practical problems, we not only need sample labels given by a clustering algorithm, but also rely on the recognition of far-near relations of…”
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An effective partitional clustering algorithm based on new clustering validity index by Zhu, Erzhou, Ma, Ruhui

“…•A new partitional clustering algorithm is designed by integrating the improved K-means algorithm with the new introducted VCVI…”
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A fast and effective partitional clustering algorithm for large categorical datasets using a k-means based approach by Ben Salem, Semeh, Naouali, Sami, Chtourou, Zied

“…Partitional clustering algorithms represent an interesting issue in pattern recognition due to their high scalability and efficiency…”
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A Fast Partitional Clustering Algorithm based on Nearest Neighbours Heuristics by Ganguly, Debasis

“… K-means, along with its several other variants, is the most widely used family of partitional clustering algorithms…”
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Hybrid of Hierarchical and Partitional Clustering Algorithm for Gene Expression Data by Raja Kumaran, Shamini, Shahizan Othman, Mohd, Mi Yusuf, Lizawati

“…Microarray analysis able to monitor thousands of gene expression data, however, to elucidate the hidden patterns in the data is a complex process. These gene…”
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A simulated annealing algorithm with a dual perturbation method for clustering by Lee, Julian, Perkins, David

“…•Existing partitional clustering algorithms still settle upon local optima.•We propose a new simulated annealing algorithm with two perturbation methods…”
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k-ATTRACTORS: A PARTITIONAL CLUSTERING ALGORITHM FOR NUMERIC DATA ANALYSIS by Kanellopoulos, Y., Antonellis, P., Tjortjis, C., Makris, C., Tsirakis, N.

“… Partitional clustering algorithms are efficient but suffer from sensitivity to the initial partition and noise…”
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Fast and stable clustering analysis based on Grid-mapping K-means algorithm and new clustering validity index by Zhu, Erzhou, Zhang, Yuanxiang, Wen, Peng, Liu, Feng

“…•Proposes the Grid-K-means clustering algorithm.•Designs a new clustering validity index (BCVI).•Shortens the length of interval of K in finding the Kopt. As a…”
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Incorporating Stability and Error-based Constraints for a Novel Partitional Clustering Algorithm by Aparna, K., Nair, Mydhili K.

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Integrating multi-criteria decision making and clustering for business customer segmentation by Güçdemir, Hülya, Selim, Hasan

“…). First, proper segmentation variables are identified and then customers are grouped by using hierarchical and partitional clustering algorithms…”
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A partitional clustering algorithm validated by a clustering tendency index based on graph theory by Brás Silva, Helena, Brito, Paula, Pinto da Costa, Joaquim

“…Applying graph theory to clustering, we propose a partitional clustering method and a clustering tendency index. No initial assumptions about the data set are…”
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A New Fuzzy Clustering Validity Index With a Median Factor for Centroid-Based Clustering by Wu, Chih-Hung, Ouyang, Chen-Sen, Chen, Li-Wen, Lu, Li-Wei

“… This study discusses the effectiveness of clustering validity indexes for centroid-based partitional clustering algorithms…”
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