A New Measure For Clustering Model Selection: Automatic Detection Of The Number Of Clusters In A Data Set
Mccrosky, Jesse; Mccrosky, Jesse
ISBN 10: 3838323971 ISBN 13: 9783838323978
Published by Lap Lambert Academic Publishing, 2009
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About this Item
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68 pages. 8.66x5.91x0.16 inches. In Stock. Seller Inventory # 3838323971
Synopsis:
Typical k-means clustering procedures require a priori knowledge of the number of clusters in the data set. This value can be very difficult to ascertain. Existing heuristic methods work in some cases, but are rarely very reliable. Herein, a new method for determining the number of k-means clusters in a given data set is presented. The algorithm is developed from its theoretical basis and its implementation is examined and compared to existing solutions.
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Bibliographic Details
Title: A New Measure For Clustering Model Selection...
Publisher: Lap Lambert Academic Publishing
Publication Date: 2009
Binding: Paperback
Condition: Brand New