Conceptual Clustering with Numeric - and - Nominal Mixed Data | A New Similarity
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منابع مشابه
Unsupervised Learning with Mixed Numeric and Nominal Data
ÐThis paper presents a Similarity-Based Agglomerative Clustering (SBAC) algorithm that works well for data with mixed numeric and nominal features. A similarity measure, proposed by Goodall for biological taxonomy [15], that gives greater weight to uncommon feature value matches in similarity computations and makes no assumptions of the underlying distributions of the feature values, is adopted...
متن کاملConceptual Clustering with Numeric-and-Nominal Mixed Data | A New Similarity Based System
This paper presents a new Similarity Based Agglomerative Clustering(SBAC) algorithm that works well for data with mixed numeric and nominal features. A similarity measure, proposed by Goodall for biological taxonomy[13], that gives greater weight to uncommon feature-value matches in similarity computations and makes no assumptions of the underlying distributions of the feature-values, is adopte...
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