Grouping Multidimensional Data: Recent Advances in Clustering

Grouping multidimensional data. Recent a

📁 Grouping multidimensional data. Recent advances in clustering

✍ Kogan J., et al. (eds.) 📂 Library 📅 2006 🏛 Springer 🌐 English

Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anom

Grouping Multidimensional Data: Recent A

📁 Grouping Multidimensional Data: Recent Advances in Clustering

✍ Jacob Kogan, Charles K. Nicholas, M. Teboulle 📂 Library 📅 2006 🏛 Springer 🌐 English

Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anom

Grouping Multidimensional Data Recent Ad

📁 Grouping Multidimensional Data Recent Advances in Clustering

✍ Jacob Kogan, Charles Nicholas, Marc Teboulle 📂 Library 📅 2006 🏛 Springer 🌐 English

Grouping Multidimensional Data: Recent A

📁 Grouping Multidimensional Data: Recent Advances in Clustering

✍ J.A. Aslam, E. Pelekhov, D. Rus (auth.), Jacob Kogan, Charles Nicholas, Marc Teb 📂 Library 📅 2006 🏛 Springer 🌐 English

Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, o

Recent Advances in Hybrid Metaheuristics

📁 Recent Advances in Hybrid Metaheuristics for Data Clustering

✍ Sourav De (editor), Sandip Dey (editor), Siddhartha Bhattacharyya (editor) 📂 Library 📅 2020 🏛 John Wiley & Sons Inc 🌐 English

An authoritative guide to an in&#45;depth analysis of various state&#45;of&#45;the&#45;art data clustering approaches using a range of computational intelligence techniques Recent Advances in Hybrid Metaheuristics for Data Clustering offers a guide to the fund

Classification, Clustering, and Data Ana

📁 Classification, Clustering, and Data Analysis: Recent Advances and Applications

✍ Frank Hampel (auth.), Prof. Krzysztof Jajuga, Prof. Andrzej Sokołowski, Prof. Ha 📂 Library 📅 2002 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

The present volume contains a selection of papers presented at the Eighth Conference of the International Federation of Classification Societies (IFCS) which was held in Cracow, Poland, July 16-19, 2002. All originally submitted papers were subject to a reviewing process by two independent refere