Abstract
Many data mining applications require the determination of similar or dissimilar objects, patterns, attributes, and events in the data. In other words, a methodical way of quantifying similarity between data objects is required. Virtually all data mining problems, such as clustering, outlier detection, and classification, require the computation of similarity.
Cite
CITATION STYLE
APA
Aggarwal, C. C. (2015). Similarity and Distances. In Data Mining (pp. 63–91). Springer International Publishing. https://doi.org/10.1007/978-3-319-14142-8_3
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