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The masses of data objects are then estimated to select core data object with nonzero masses. Taking the core data objects as the initial clusters, the clusters are iteratively merged hierarchy by hierarchy with good performance. The results of a case study show that the data field is capable of hierarchical clustering on objects varying size, shape or granularity without user-specified parameters, as well as considering the object features inside the clusters and removing the outliers from noisy data. The comparisons illustrate that the data field clustering performs better than K-means, BIRCH, CURE, and CHAMELEON.<\/p>","DOI":"10.4018\/jdwm.2011100103","type":"journal-article","created":{"date-parts":[[2011,10,19]],"date-time":"2011-10-19T16:11:46Z","timestamp":1319040706000},"page":"43-63","source":"Crossref","is-referenced-by-count":76,"title":["Data Field for Hierarchical Clustering"],"prefix":"10.4018","volume":"7","author":[{"given":"Shuliang","family":"Wang","sequence":"first","affiliation":[{"name":"The University of Pittsburgh, USA and Wuhan University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenyan","family":"Gan","sequence":"additional","affiliation":[{"name":"Nanjing University of Science and Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deyi","family":"Li","sequence":"additional","affiliation":[{"name":"Tsinghua University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deren","family":"Li","sequence":"additional","affiliation":[{"name":"Wuhan University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2432","reference":[{"key":"jdwm.2011100103-0","doi-asserted-by":"publisher","DOI":"10.4018\/jdwm.2009010103"},{"key":"jdwm.2011100103-1","author":"F. 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