Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Document Clustering Approach Using Shared Nearest Neighbour Affinity, TF-IDF and Angular Similarity Subject The topic of the resource Clustering; DBSCAN; Density-based; Document classification; Similarity; SNN; Unstructured data email documents Description An account of the resource Quantum of data is increasing in an exponential order. Clustering is a major task in many text mining applications. Organizing text documents automatically, extracting topics from documents, retrieval of information and information filtering are considered as the applications of clustering. This task reveals identical patterns from a collection of documents. Understanding of the documents, representation of them and categorization of documents require various techniques. Text clustering process requires both natural language processing and machine learning techniques. An unsupervised spatial pattern identification approach is proposed for text data. A new algorithm for finding coherent patterns from a huge collection of text data is proposed, which is based on the shared nearest neighbour. The implementation followed by validation confirms that the proposed algorithm can cluster the text data for the identification of coherent patterns. The results are visualized using a graph. The results show the methodology works well for different text datasets. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Goswami M. Source A related resource from which the described resource is derived Lecture Notes on Data Engineering and Communications Technologies, Vol-57, pp. 267-276. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-15-9509-7_23" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-9509-7_23</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101969114&amp;doi=10.1007%2F978-981-15-9509-7_23&amp;partnerID=40&amp;md5=64a25e6e08f9ed549a83983f6972f79d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101969114&amp;doi=10.1007%2f978-981-15-9509-7_23&amp;partnerID=40&amp;md5=64a25e6e08f9ed549a83983f6972f79d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23674512 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Goswami M., CHRIST (Deemed to be University), Bengaluru, India