Výsledky vyhľadávania - "partitional clustering algorithms‎"

A New Approach to Define the Number of Clusters for Partitional Clustering Algorithms Autor 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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EXTENSIONS TO THE K-AMH ALGORITHM FOR NUMERICAL CLUSTERING Autor Seman, Ali, Mohd Sapawi, Azizian

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Geometric double-entity model for recognizing far-near relations of clusters Autor 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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Color image segmentation by partitional clustering algorithms Autor 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. As more information is…”
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Fast and stable clustering analysis based on Grid-mapping K-means algorithm and new clustering validity index Autor 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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A New Fuzzy Clustering Validity Index With a Median Factor for Centroid-Based Clustering Autor Wu, Chih-Hung, Ouyang, Chen-Sen, Chen, Li-Wen, Lu, Li-Wei

“…Determining the number of clusters, which is usually approved by domain experts or evaluated by clustering validity indexes, is an important issue in…”
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Improving the Initial Centroids of k-means Clustering Algorithm to Generalize its Applicability Autor 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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An Optimal and Stable Algorithm for Clustering Numerical Data Autor 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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Effective and Optimal Clustering Based on New Clustering Validity Index Autor Zhu, Erzhou, Li, Peng, Ma, Zhujuan, Li, Xuejun, Liu, Feng

“…As an important tool, clustering validity index (CVI) is usually used to evaluate the validity of the clustering results and determine the optimal clustering…”
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