Search Results - "partitional clustering algorithm"

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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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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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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Improving the Initial Centroids of k-means Clustering Algorithm to Generalize its Applicability by Goyal, M., Kumar, S.

“…k-means is one of the most widely used partition based clustering algorithm. But the initial centroids generated randomly by the k-means algorithm cause the…”
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A Study of Big Data Security on a Partitional Clustering Algorithm with Perturbation Technique by Marichamy, V. Santhana, Natarajan, V.

“…Partitional Clustering Algorithm (PCA) on the Hadoop Distributed File System is to perform big data securities using the Perturbation Technique is the main idea of the proposed work…”
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An Optimal and Stable Algorithm for Clustering Numerical Data by Seman, Ali, Mohd Sapawi, Azizian

“…In the conventional k-means framework, seeding is the first step toward optimization before the objects are clustered. In random seeding, two main issues…”
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Incorporating Stability and Error-based Constraints for a Novel Partitional Clustering Algorithm by K. Aparna, Mydhili K. Nair

“… To overcome these drawbacks, we developed a novel partitional clustering algorithm called a HB-K-Means algorithm…”
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Accurate partitional clustering algorithm based on immunized PSO by Nanda, S. J., Panda, G.

“…Hybrid evolutionary algorithms are created by suitably combining the good features of two parent evolutionary algorithms, normally provide better solutions…”
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Research of case retrieval strategy based on partitional clustering algorithm by Shi-xia Ma, Jian-hua Liu, Dan Liu

“…Case clustering is the core of case-based reasoning system. This paper partitions clustering to case base and designs a case retrieval strategy based on…”
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Effective and Optimal Clustering Based on New Clustering Validity Index by Zhu, Erzhou, Li, Peng, Ma, Zhujuan, Li, Xuejun, Liu, Feng

“… of the partitional clustering algorithms and better evaluate…”
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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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