Enhancement of Performance of Document Clustering in the Authorship Identification Problem with a Weighted Cosine Similarity

Martín-Del-Campo-Rodríguez, Carolina; Sidorov, Grigori; Batyrshin, Ildar

doi:10.1007/978-3-030-04497-8_4

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2022

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“…For Authorship Identification problem, Martín-del-Campo-Rodríguez (54) proposed a weighted cosine similarity measure by redefining the cosine similarity (30) with presence-absence data value of the vector representation of the document. The dataset used for the authorship identification problem consisted of two corpora, one with long texts and the other with short texts.…”

Section: Developmentmentioning

confidence: 99%

A Review of Data and Document Clustering pertaining to various Distance Measures

Sumathi

Grace

2022

Salud, Ciencia y Tecnología

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Data is being generated at an increasing rate in a variety of fields as science and technology advance. The generated data are being saved for future decision-making. Data mining is the process of extracting patterns and useful information from massive amounts of data. The distance measure, which is used to calculate how different two objects are from one another, is one such instrument. We have conducted a comprehensive survey of how the distance measures behave when employed with different algorithms. Furthermore, the effectiveness and performance of some novel similarity measures proposed by other authors are investigated.

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Section: Developmentmentioning

confidence: 99%