Clustering Categorical Data Using Community Detection Techniques
نویسندگان
چکیده
منابع مشابه
Clustering Categorical Data Using Community Detection Techniques
With the advent of the k-modes algorithm, the toolbox for clustering categorical data has an efficient tool that scales linearly in the number of data items. However, random initialization of cluster centers in k-modes makes it hard to reach a good clustering without resorting to many trials. Recently proposed methods for better initialization are deterministic and reduce the clustering cost co...
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One of the most important problems in science is that of inferring knowledge from data. The most challenging issue is the unsupervised classification of patterns (observations, measurements, or feature vectors) into groups (clusters) according to their similarity. The quantification of similarity is usually performed in terms of distances or correlations between pairs. The resulting similarity ...
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Clustering is a widely used technique in data mining application for discovering patterns in underlying data. Most traditional clustering algorithms are limited in handling datasets that contain categorical attributes. However, datasets with categorical types of attributes are common in real life data mining problem. For these data sets, no inherent distance measure, like the Euclidean distance...
متن کاملClustering Categorical Data
Dynamical systems approach for clustering categorical data have been studied by some authors [1]. However, the proposed dynamic algorithm cannot guarantee convergence, so that the execution may get into an in nite loop even for very simple data. We de ne a new conguration updating algorithm for clustering categorical data sets. Let us consider a relational table with k elds, each of which can a...
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The data stream model has been defined for new classes of applications involving massive data being generated at a fast pace. Web click stream analysis and detection of network intrusions are two examples. Cluster analysis on data streams becomes more difficult, because the data objects in a data stream must be accessed in order and can be read only once or few times with limited resources. Rec...
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ژورنال
عنوان ژورنال: Computational Intelligence and Neuroscience
سال: 2017
ISSN: 1687-5265,1687-5273
DOI: 10.1155/2017/8986360