A New Measure For Clustering Model Selection: Automatic Detection Of The Number Of Clusters In A Data Set. This item is unavailable.
Language: English
Published by Lap Lambert Academic Publishing, 2009
- Softcover
- New
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Softcover
Condition: New
US$ 127.57
Item description from seller
68 pages. 8.66x5.91x0.16 inches. In Stock.
Seller Inventory # 3838323971
- Title
- A New Measure For Clustering Model Selection: Automatic Detection Of The Number Of Clusters In A Data Set
- Author
- Mccrosky, Jesse; Mccrosky, Jesse
- Publisher
- Lap Lambert Academic Publishing
- Publication year
- 2009
- Condition
- Brand New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 3838323971
- ISBN 13
- 9783838323978
- Item weight
- 0.15 kilograms
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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