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Titlebook: Cluster Analysis; A Survey Patrick L. Odell,Benjamin S. Duran Book 1974 Springer-Verlag Berlin · Heidelberg 1974 Mathematica.algorithms.cal

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书目名称Cluster Analysis
副标题A Survey
编辑Patrick L. Odell,Benjamin S. Duran
视频video
丛书名称Lecture Notes in Economics and Mathematical Systems
图书封面Titlebook: Cluster Analysis; A Survey Patrick L. Odell,Benjamin S. Duran Book 1974 Springer-Verlag Berlin · Heidelberg 1974 Mathematica.algorithms.cal
描述A tremendous amount of work has been done over the last thirty years in cluster analysis, with a significant amount occurring since 1960. A substantial portion of this work has appeared in many journals, including numerous applied journals, and a unified ex­ position is lacking. The purpose of this monograph is to supply such an exposition by presenting a brief survey on cluster analysis. The main intent of the monograph is to give the reader a quick account of the prob­ lem of cluster analysis and to expose to him the various aspects thereof. With this intent in mind much detail has been omitted, particularly in so far as detailed examples are considered. Most of the references stated within the text contain examples and the reader can consult them for additional information on specific topics. Efforts were made to include in the reference section all papers that played a role in developing the "theory" of cluster analysis. Any omission of such references was not intentional and we would appreciate knowing about them. Many references to papers in applied journals are also contained, however, the list-is far from being complete. This monograph has been greatly influenced by the wor
出版日期Book 1974
关键词Mathematica; algorithms; calculus; function; optimization
版次1
doihttps://doi.org/10.1007/978-3-642-46309-9
isbn_softcover978-3-540-06954-6
isbn_ebook978-3-642-46309-9Series ISSN 0075-8442 Series E-ISSN 2196-9957
issn_series 0075-8442
copyrightSpringer-Verlag Berlin · Heidelberg 1974
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Applications,columns (numbers of resolution elements per scan line) of one resolution element (an individual). Each cell (individual, I) generates a p x 1 measurement vector X., i = 1, 2,…,r, and j = 1, 2,…,c. In order to recognize a scene, one must perform rc = n discriminate tasks “as effectively as possible”,
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Gesetzlich geschützte Lebensstättenr that a certain criterion of homogeneity within clusters is satisfied. A way of accomplishing this objective as discussed in Chapter 2 is by complete enumeration, i.e., examine the homogeneity criterion for all possible partitions into m clusters and choose that one which is optimal. Unfortunately,
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