Suchergebnisse - clustering algorithms and validity measure

Vanishing-Point Detection Based on a Fuzzy Clustering Algorithm and New Clustering Validity Measure von Chien-Hsing Chou, Yu-Xiang Zhao, Hsien-Pang Tai

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Clustering algorithms and validity measures von Halkidi, M., Batistakis, Y., Vazirgiannis, M.

“… In the last years the availability of huge transactional and experimental data sets and the arising requirements for data mining created needs for clustering algorithms that scale and can be applied in diverse domains …”
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Integrated Differential Fuzzy Clustering for Analysis of Microarray Data von Saha, Indrajit, Maulik, Ujjwal

“… This chapter contains sections titled: Introduction Clustering Algorithms and Validity Measure Differential Evolution Based Fuzzy Clustering Experimental …”
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What’s in a distance? Exploring the interplay between distance measures and internal cluster validity in multi-objective clustering von José-García, Adán, Handl, Julia

“… : the multi-criterion clustering algorithm Δ -MOCK, designed to optimise different measures of internal cluster validity over a single dissimilarity space, and the multi-view clustering algorithm MVMC, designed to optimise a single measure …”
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Enhanced Connectivity Validity Measure Based on Outlier Detection for Multi-Objective Metaheuristic Data Clustering Algorithms von Mustafa, Hossam M. J., Ayob, Masri

“… Data clustering algorithms experience challenges in identifying data points that are either noise or outlier …”
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A comparative study of hard clustering algorithms for vegetation data von Pakgohar, Naghmeh, Eshaghi Rad, Javad, Gholami, Gholamhossein, Alijanpour, Ahmad, Roberts, David W., Botta‐Dukát, Zoltán

“… Questions Which clustering algorithms are most effective according to different cluster validity evaluators …”
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Genetic algorithm for text clustering using ontology and evaluating the validity of various semantic similarity measures von Song, Wei, Li, Cheng Hua, Park, Soon Cheol

“… This paper proposes a self-organized genetic algorithm for text clustering based on ontology method …”
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Object-based cluster validation with densities von Tavakkol, Behnam, Choi, Jeongsub, Jeong, Myong Kee, Albin, Susan L.

“… •In this paper, an object-based clustering validity index with densities referred to as OCVD is proposed …”
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Cluster validity measure and merging system for hierarchical clustering considering outliers von de Morsier, Frank, Tuia, Devis, Borgeaud, Maurice, Gass, Volker, Thiran, Jean-Philippe

“… In this work, we propose a new cluster validity measure (CVM) to quantify the clustering performance of hierarchical algorithms that handle overlapping clusters of any shape and in the presence of outliers …”
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Model-based evaluation of clustering validation measures von Brun, Marcel, Sima, Chao, Hua, Jianping, Lowey, James, Carroll, Brent, Suh, Edward, Dougherty, Edward R.

“… to the distributions, and then the errors are averaged over the point sets composing the sample. Many validity measures have been proposed for evaluating clustering results based on a single realization of the random …”
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Improved Automatic Clustering Using a Multi-Objective Evolutionary Algorithm With New Validity measure and application to Credit Scoring von majid mohammadi rad, mahdi afzali

“… A survey was also used to measure the clustering validity index which resulted in a new validity index …”
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Clustering based on the Krill Herd Algorithm with Selected Validity Measures von Piotr Andrzej Kowalski, Szymon Łukasik, Małgorzata Charytanowicz, Piotr Kulczycki

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Spike sorting based on shape, phase, and distribution features, and K-TOPS clustering with validity and error indices von Caro-Martín, Carmen Rocío, Delgado-García, José M., Gruart, Agnès, Sánchez-Campusano, R.

“… In addition, we applied an efficient clustering algorithm based on K -means and template optimization in phase space (hereinafter K -TOPS …”
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A cluster validity measure with a hybrid parameter search method for the support vector clustering algorithm von Wang, Jeen-Shing, Chiang, Jen-Chieh

“… This paper presents a cluster validity measure with a hybrid parameter search method for the support vector clustering (SVC …”
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Normalised Clustering Accuracy: An Asymmetric External Cluster Validity Measure von Gagolewski, Marek

“… Clustering algorithms are traditionally evaluated using either internal or external validity measures …”
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A Multicriteria Decision Making Approach for Estimating the Number of Clusters in a Data Set von Peng, Yi, Zhang, Yong, Kou, Gang, Shi, Yong

“… In this approach, MCDM methods consider different numbers of clusters as alternatives and the outputs of any clustering algorithm on validity measures as criteria …”
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Simrec: a similarity measure recommendation system for mixed data clustering algorithms von Diop, Abdoulaye, El-Malki, Nabil, Chevalier, Max, Péninou, André, Roman-Jimenez, Geoffrey, Teste, Olivier

“… Clustering algorithms typically rely on similarity measures to assess the likeness between data points …”
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A Cluster Validity Measure With Outlier Detection for Support Vector Clustering von Wang, Jeen-Shing, Chiang, Jen-Chieh

“… This paper focuses on the development of an effective cluster validity measure with outlier detection and cluster merging algorithms for support vector clustering (SVC …”
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Fuzzy and hard clustering analysis for thyroid disease von Azar, Ahmad Taher, El-Said, Shaimaa Ahmed, Hassanien, Aboul Ella

“… Different scalar validity measures are used in comparing the performances of the proposed clustering systems …”
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Combined Mapping of Multiple clUsteriNg ALgorithms (COMMUNAL): A Robust Method for Selection of Cluster Number, K von Sweeney, Timothy E., Chen, Albert C., Gevaert, Olivier

“… ’, with multiple techniques available for assessing the validity of unsupervised clustering algorithms …”
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