-
- Australia
- Canada
- UK
- USA
- Afghanistan
- Albania
- Algeria
- American Samoa
- Andorra
- Angola
- Anguilla
- Antarctica
- Antigua and Barbuda
- Argentina
- Armenia
- Aruba
- Australia
- Austria
- Azerbaijan
- Bahamas
- Bahrain
- Bangladesh
- Barbados
- Belarus
- Belgium
- Belize
- Benin
- Bermuda
- Bhutan
- Bolivia
- Bosnia and Herzegovina
- Botswana
- Brazil
- British Indian Ocean Territory
- Brunei Darussalam
- Bulgaria
- Burkina Faso
- Burundi
- Cambodia
- Cameroon
- Canada
- Cape Verde
- Cayman
- Central African R
- Chad
- Chile
- China
- Cocos (Keeling)
- Colombia
- Comoros
- Congo, The DR
- Congo, Rep of
- Cook Is
- Costa Rica
- Cote d'Ivoire
- Croatia/Hrvatska
- Cuba
- Cyprus
- Czech Repu
- Denmark
- Djibouti
- Dominica
- Dominican R
- Timor-Leste
- Ecuador
- Egypt
- El Salvador
- Equatorial Guinea
- Eritrea
- Estonia
- Ethiopia
- Falklands (Malvinas)
- Fiji
- Finland
- France
- French Guiana
- French Polynesia
- French Southern Territories
- Gabon
- Gambia
- Georgia
- Germany
- Ghana
- Gibraltar
- Greece
- Greenland
- Grenada
- Guadeloupe
- Guam
- Guatemala
- Guernsey
- Guinea
- Guinea-Bissau
- Guyana
- Haiti
- Heard and McDonald Is
- Holy See (Vatican City State)
- Honduras
- Hong Kong
- Hungary
- Iceland
- India
- Indonesia
- Iran
- Iraq
- Ireland
- Isle of Man
- Israel
- Italy
- Jamaica
- Japan
- Jersey
- Jordan
- Kazakhstan
- Kenya
- Kiribati
- Korea, DPR
- Korea, Repub of
- Kuwait
- Kyrgyzstan
- Lao
- Latvia
- Lebanon
- Lesotho
- Liberia
- Libyan Arab Jamahiriya
- Liechtenstein
- Lithuania
- Luxembourg
- Montenegro
- Macau
- Macedonia
- Madagascar
- Malawi
- Malaysia
- Maldives
- Mali
- Malta
- Marshall Is
- Martinique
- Mauritania
- Mauritius
- Mayotte
- Mexico
- Micronesia, Federal State of
- Moldova
- Monaco
- Mongolia
- Montserrat
- Morocco
- Mozambique
- Myanmar
- Namibia
- Nauru
- Nepal
- Netherlands
- Netherlands Antilles
- New Caledonia
- New Zealand
- Nicaragua
- Niger
- Nigeria
- Niue
- Norway
- Oman
- Pakistan
- Palau
- Palestinian Territories
- Panama
- Papua New Guinea
- Paraguay
- Peru
- Philippines
- Pitcairn
- Poland
- Portugal
- Puerto Rico
- Qatar
- Reunion
- Romania
- Russian Federation
- Rwanda
- Serbia
- St Kitts and Nevis
- Snt Lucia
- Sa Vincent and the Grenadines
- San Marino
- Sao Tome and Principe
- Saudi Arabia
- Senegal
- Seychelles
- Sierra Leone
- Singapore
- Slovak R
- Slovenia
- Solomons
- Somalia
- South Africa
- South Georgia and the South Sandwich
- Spain
- Sri Lanka
- S Helena
- S Pierre and Miquelon
- Sudan
- Suriname
- Svalbard and Jan Mayen
- Swaziland
- Sweden
- Switzerland
- Syria
- Taiwan
- Tajikistan
- Tanzania
- Thailand
- Togo
- Tokelau
- Tonga
- Trinidad and Tobago
- Tunisia
- Turkey
- Turkmenistan
- Turks and Caicos
- Tuvalu
- Uganda
- Ukraine
- Unitd Arab Emirates
- UK
- USA
- Uruguay
- Uzbekistan
- Vanuatu
- Venezuela
- Vietnam
- Virgin Is, British
- Virgin Is, U.S.
- Wallis and Futuna
- Western Sahara
- Western Samoa
- Yemen
- Yugoslavia
- Zambia
- Zimbabwe
- Gift certificates
- Academic eBooks
- My account
- Help
- Wishlist
- Feedback
- Sign up
The Leading eBooks Store Online
for Kindle Fire, Apple, Android, Nook, Kobo, PC, Mac, Sony Reader...
Clustering
A Data Recovery Approach, Second Edition
US$ 99.95
(+ tax)
Preview (read now)
Add to my own site
Give this ebook to a friend
Add to my wishlist
Author's page
Publisher's page
Devices
- iPad
- PC
- e-readers with Adobe Digital Editions installed
- Mac
See the full list
Available Devices
X
This book is available for the following devices:
- iPad
- Windows
- Mac
- Sony Reader
- Cool-er Reader
- Nook
- Kobo Reader
- iRiver Story
File Formats
Download: secure PDF.
You can also read this book online in eb20 format without having to download anything.
You can also read this book online in eb20 format without having to download anything.
Permissions
Printing
Copy/Paste
Read Aloud
Printing
Copy/Paste
Read Aloud
more
Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error. Even the two most popular, and most related, clustering methods-K-Means for partitioning and Ward's method for hierarchical clustering-have lacked the theoretical underpinning required to establish a firm relationship between the two methods and relevant interpretation aids. Other approaches, such as spectral clustering or consensus clustering, are considered absolutely unrelated to each other or to the two above mentioned methods. Clustering: A Data Recovery Approach, Second Edition presents a unified modeling approach for the most popular clustering methods: the K-Means and hierarchical techniques, especially for divisive clustering. It significantly expands coverage of the mathematics of data recovery, and includes a new chapter covering more recent popular network clustering approaches-spectral, modularity and uniform, additive, and consensus-treated within the same data recovery approach.Another added chapter covers cluster validation and interpretation, including recent developments for ontology-driven interpretation of clusters. Altogether, the insertions added a hundred pages to the book, even in spite of the fact that fragments unrelated to the main topics were removed. Illustrated using a set of small real-world datasets and more than a hundred examples, the book is oriented towards students, practitioners, and theoreticians of cluster analysis. Covering topics that are beyond the scope of most texts, the author's explanations of data recovery methods, theory-based advice, pre- and post-processing issues and his clear, practical instructions for real-world data mining make this book ideally suited for teaching, self-study, and professional reference.
less
Subject categories
- Academic > Mathematics > General > Mathematics
- Academic > Computer Science > Computer science
- Academic > Computer Science > Electronic data processing
- Academic > Computer Science > Computers - special aspects
- Academic > Computer Science > System design; Periodicals
- Academic > Computer Science > Database management
- Academic > Computer Science > Data mining
- Academic > Mathematics > Instruments and machines
- Academic > Mathematics > Geometry. Trigonometry.Topology
- Computers > Database Management > Data Mining
- Mathematics
ISBNs
1439838429
9781439838419
9781439838426