Add to ORKGThe first part of this book is devoted to methods seeking relevant dimensions of data. The variables thus obtained provide a synthetic description which often results in a graphical representation of the data. After a general presentation of the discriminating analysis, the second part is devoted to clustering methods which constitute another method, often complementary to the methods described in the first part, to synthesize and to analyze the data. The book concludes by examining the links existing between data mining and data analysis
Data mining is a new discipline lying at the interface of statistics, database technology, pattern ...
Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By o...
Abstract — Clustering is a technique of data mining. It aims at finding natural partitioning of data...
Abstract: Clustering and classification of data is a difficult problem that is related to various fi...
The volume presents new developments in data analysis and classification, and gives a state of the a...
Clustering is one of the most useful tasks in data mining process for discovering groups and identif...
Due to recent technological developments it became possible to generate and store increasingly large...
This book explains and illustrates the most frequently used methods of hierarchical cluster analysis...
This chapter provides a review of the field of clustering and classification as applied in the behav...
Research on the problem of clustering tends to be fragmented across the pattern recognition, databas...
Abstract The chapter by Milligan and Hirtle provides an overview of the current state of knowledge i...
Clustering is a division of data into groups of similar objects. Representing the data by fewer clus...
The volume presents new developments in data analysis and classification and gives an overview of th...
International audienceThis book offers an original and broad exploration of the fundamental methods ...
Abstract: Data mining may be defined as the science of extracting useful information from databases....
Data mining is a new discipline lying at the interface of statistics, database technology, pattern ...
Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By o...
Abstract — Clustering is a technique of data mining. It aims at finding natural partitioning of data...
Abstract: Clustering and classification of data is a difficult problem that is related to various fi...
The volume presents new developments in data analysis and classification, and gives a state of the a...
Clustering is one of the most useful tasks in data mining process for discovering groups and identif...
Due to recent technological developments it became possible to generate and store increasingly large...
This book explains and illustrates the most frequently used methods of hierarchical cluster analysis...
This chapter provides a review of the field of clustering and classification as applied in the behav...
Research on the problem of clustering tends to be fragmented across the pattern recognition, databas...
Abstract The chapter by Milligan and Hirtle provides an overview of the current state of knowledge i...
Clustering is a division of data into groups of similar objects. Representing the data by fewer clus...
The volume presents new developments in data analysis and classification and gives an overview of th...
International audienceThis book offers an original and broad exploration of the fundamental methods ...
Abstract: Data mining may be defined as the science of extracting useful information from databases....
Data mining is a new discipline lying at the interface of statistics, database technology, pattern ...
Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By o...
Abstract — Clustering is a technique of data mining. It aims at finding natural partitioning of data...