Clustering feature vectors with mixed numerical and categorical attributes
نویسندگان
چکیده
منابع مشابه
Clustering Based on Compressed Data for Categorical and Mixed Attributes
Clustering in data mining is a discovery process that groups a set of data so as to maximize the intra-cluster similarity and to minimize the intercluster similarity. Clustering becomes more challenging when data are categorical and the amount of available memory is less than the size of the data set. In this paper, we introduce CBC (Clustering Based on Compressed Data), an extension of the Bir...
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Clustering is an important technique for data mining which allows us to discover unknown relationships in our data sets. Clustering algorithms that use metrics based on the natural ordering of numbers cannot be applied to categorical (non-numerical) data. In this tutorial we will review the main methods for numerical data clustering (K-Means, Hierarchical Clustering and Fuzzy CMeans) and then s...
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ژورنال
عنوان ژورنال: International Journal of Computational Intelligence Systems
سال: 2008
ISSN: 1875-6891,1875-6883
DOI: 10.1080/18756891.2008.9727625