£71.51

Data Clustering: Theory, Algorithms, and Applications (Mathematics in Industry)

Probability & Statistics

Price data last checked 50 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

Last 41 days • 41 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 41 days • 1 price levels

Days at Price

Price Analysis

Most common price: £72 (41 days, 100.0%)

Price range: £72 - £72

Price levels: 1 different prices over 41 days

Description

Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments. Data Clustering: Theory, Algorithms, and Applications, Second Edition: covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms.

Product Specifications

Format: paperback
ASIN: 1611976324
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Probability & Statistics
Domain: Amazon UK
Release Date: 30 December 2020
Listed Since: 05 November 2020

Barcode

No barcode data available

Data Clustering: Theory, Algorithms, and Applications (Mathematics in Industry)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Advances in Data Clustering: Theory and Applications

CRC Press Data Clustering: Algorithms and Applications Book

Clustering: A Data Recovery Approach, Second Edition

Clustering: A Data Recovery Approach, Second Edition: 19 (Chapman & Hall/CRC Computer Science & Data Analysis)

Clustering Algorithms & Mathematical Modeling (Mathematical Research Developments)

Data Clustering in C++: An Object-Oriented Approach: 20 (Chapman & Hall/CRC Data Mining and Knowledge Discovery)

Clustering: Theoretical And Practical Aspects

Modern Algorithms of Cluster Analysis: 34 (Studies in Big Data, 34)

Classification (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Stream Clustering: Unsupervised Machine Learning

Handbook of Cluster Analysis (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Handbook of Cluster Analysis (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Statistical Learning and Data Science (Computer Science and Data Analysis)

Constrained Clustering: Advances in Algorithms, Theory, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Relational Data Clustering: Models, Algorithms, and Applications: 14 (Chapman & Hall/CRC Data Mining and Knowledge Discovery)

An Introduction to Clustering with R: 1 (Behaviormetrics: Quantitative Approaches to Human Behavior, 1)

Classification, Clustering, and Data Analysis: Recent Advances and Applications (Studies in Classification, Data Analysis, and Knowledge Organization)

Statistical Learning and Data Science (Chapman & Hall/CRC Computer Science & Data Analysis)

Time Series Clustering and Classification (Chapman & Hall/CRC Computer Science & Data Analysis)

Model-Based Clustering and Classification for Data Science: With Applications in R: Series Number 50 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)

Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning: Volume 1 (Multivariate Analysis)

Lecture Notes In Data Mining

Cluster Analysis (SAGE Benchmarks in Social Research Methods)

Relational Data Clustering: Models, Algorithms, and Applications: 14 (Chapman & Hall/CRC Data Mining and Knowledge Discovery)