Data Clustering: Theory, Algorithms, and Applications

Data Clustering: Theory, Algorithms, and

📁 Data Clustering: Theory, Algorithms, and Applications

✍ Guojun Gan, Chaoqun Ma, Jianhong Wu 📂 Library 📅 2007 🏛 SIAM, Society for Industrial and Applied Mathemati 🌐 English

Cluster analysis is an unsupervised process that divides a set of objects into homogeneous groups. This book starts with basic information on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50 clustering algorithm

Data clustering : theory, algorithms, an

📁 Data clustering : theory, algorithms, and applications

✍ Guojun Gan, Chaoqun Ma, Jianhong Wu 📂 Library 📅 2007 🏛 Siam 🌐 English

Data Clustering: Algorithms and Applicat

📁 Data Clustering: Algorithms and Applications

✍ Charu C. Aggarwal, Chandan K. Reddy 📂 Library 📅 2014 🏛 CRC Press 🌐 English

Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, fr

Data Clustering: Algorithms and Applicat

📁 Data Clustering: Algorithms and Applications

✍ Aggarwal, Charu C.(ed.); Reddy, Chandan K (ed.) 📂 Library 📅 2014 🏛 Chapman and Hall/CRC 🌐 English

Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, fr

Data Clustering: Algorithms and Applicat

📁 Data Clustering: Algorithms and Applications

✍ Charu C. Aggarwal, Chandan K. Reddy 📂 Library 📅 2013 🏛 Chapman and Hall/CRC 🌐 English

<P>Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, <STRONG>Data Clustering: Algorithms and Applications</STRONG> provides complete coverage of the entire ar

Data Clustering: Theory, Algorithms, and

📁 Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)

✍ Guojun Gan; Chaoqun Ma; and Jianhong Wu 📂 Library 📅 2007 🏛 SIAM, Society for Industrial and Applied Mathemati 🌐 English

Cluster analysis is an unsupervised process that divides a set of objects into homogeneous groups. This book starts with basic information on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50 clustering algorithm