Clustering for data mining a data recovery approach
Presents a theory that not only closes gaps in K-Means and Ward methods, but also extends them into areas of interest, such as clustering mixed scale data and incomplete clustering. This work suggests methods for both cluster finding and cluster description, and includes nearly 60 computational exam...
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, FL
Chapman & Hall/CRC
2005
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| Series: | Series in computer science and data analysis
volume 3 |
| Subjects: | |
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| Summary: | Presents a theory that not only closes gaps in K-Means and Ward methods, but also extends them into areas of interest, such as clustering mixed scale data and incomplete clustering. This work suggests methods for both cluster finding and cluster description, and includes nearly 60 computational examples covering the various stages of clustering |
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| Physical Description: | xxiii, 266 pages illustrations 24 cm. |
| Bibliography: | Includes bibliographical references and index |
| ISBN: | 9781584885344 1584885343 |