Clustering Methodology for Symbolic Data

✍ Scribed by Lynne Billard, Edwin Diday

Publisher: Wiley
Year: 2020
Tongue: English
Leaves: 345
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Clustering Methodology for Symbolic Data

📁 Clustering Methodology for Symbolic Data

✍ Lynne Billard, Edwin Diday 📂 Library 📅 2019 🏛 Wiley 🌐 English

Algorithms for Clustering Data

📁 Algorithms for Clustering Data

✍ Anil K. Jain, Richard C. Dubes 📂 Library 📅 1988 🏛 Prentice Hall College Div 🌐 English

Algorithms for Clustering Data

📁 Algorithms for Clustering Data

✍ Anil K. Jain, Richard C. Dubes 📂 Library 📅 1988 🏛 Pearson College Div 🌐 English

Algorithms for clustering data

📁 Algorithms for clustering data

✍ Anil K. Jain, Richard C. Dubes 📂 Library 📅 1988 🏛 Prentice Hall College Div 🌐 English

Clustering for Data Mining: A Data Recov

📁 Clustering for Data Mining: A Data Recovery Approach

✍ Boris Mirkin 📂 Library 📅 2005 🏛 Chapman and Hall/CRC 🌐 English

This book gives a smooth, motivated and example-richintroduction to clustering, which is innovative in many aspects.Answers to important questions that are very rarely addressed if addressed at all, are provided.Examples:(a) what to do if the user has no idea of the numberof clusters and/or their lo

Clustering for Data Mining: A Data Recov

📁 Clustering for Data Mining: A Data Recovery Approach

✍ Boris Mirkin 📂 Library 📅 2005 🏛 Chapman & Hall – CRC 🌐 English

Often considered more as an art than a science, the field of clustering has been dominated by learning through examples and by techniques chosen almost through trial-and-error. Even the most popular clustering methods--K-Means for partitioning the data set and Ward's method for hierarchical clusteri