Semi-supervised and unsupervised machine learning : novel strategies

Albalate, Amparo. (Author). Minker, Wolfgang. (Added Author).

Summary: "This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised classification algorithms and their applications, including recent research on the combination of classifiers. The second part deals with unsupervised data mining and knowledge discovery, with special attention to text mining. Discovering the underlying structure on a data set has been a key research topic associated to unsupervised techniques with multiple applications and challenges, from web-content mining to the inference of cancer subtypes in genomic microarray data. Among those, the book focuses on a new application for dialog systems which can be thereby made adaptable and portable to different domains. Clustering evaluation metrics and new approaches, such as the ensembles of clustering algorithms, are also described"--

Record details

ISBN: 9781299139916
ISBN: 1299139914
ISBN: 1848212038
ISBN: 9781848212039
ISBN: 1118586131
ISBN: 9781118586136
ISBN: 1118586336
ISBN: 9781118586334
ISBN: 1118557697
ISBN: 9781118557693
Physical Description: 1 online resource (x, 244 pages) : illustrations
remote
Publisher: London : ISTE ; Hoboken, NJ : Wiley, 2011.

Content descriptions

Bibliography, etc. Note:	Includes bibliographical references and index.
Formatted Contents Note:	5.4.1. Results -- 5.4.2. Complexity considerations for large databases -- 5.5. Summary -- ch. 6 Detecting the Number of Clusters through Cluster Validation -- 6.1. Introduction -- 6.2. Cluster validation methods -- 6.2.1. Dunn index -- 6.2.2. Hartigan -- 6.2.3. Davies Bouldin index -- 6.2.4. Krzanowski and Lai index -- 6.2.5. Silhouette -- 6.2.6. Hubert's & gamma; -- 6.2.7. Gap statistic -- 6.3. Combination approach based on quantiles -- 6.4. Datasets -- 6.4.1. Mixtures of Gaussians -- 6.4.2. Cancer DNA-microarray dataset -- 6.4.3. Iris dataset -- 6.5. Results -- 6.5.1. Validation results of the five Gaussian dataset -- 6.5.2. Validation results of the mixture of seven Gaussians -- 6.5.3. Validation results of the NCI60 dataset -- 6.5.4. Validation results of the Iris dataset -- 6.5.5. Discussion -- 6.6. Application of speech utterances -- 6.7. Summary.
Language Note:	English.
Source of Description Note:	Print version record.