Data Clustering
Charu C. Aggarwal
Reading Time
at 250 WPM10h 52m
The average reader, reading at a speed of 250 WPM, would take 10h 52m to read Data Clustering.
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22
days at 30 min/day
652
total minutes
Data Clustering
by Charu C. Aggarwal, Chandan K. Reddy
Published
2018
Publisher
Taylor & Francis Group
Pages
652
ISBN-13
9781466558229
Description
"Clustering is a diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario. This book focuses on three primary aspects of data clustering: the core methods such as probabilistic, density-based, grid-based, and spectral clustering etc; different problem domains and scenarios such as multimedia, text, biological, categorical, network, and uncertain data as well as data streams; and different detailed insights from the clustering process because of the subjectivity of the clustering process, and the many different ways in which the same data set can be clustered"--
Subjects
Cluster analysis
Finding groups in data
Time Series Clustering and Classification
Cluster Analysis and Data Mining
Topics in modelling of clustered data
Cluster Analysis
Frequently Asked Questions
How many pages are in Data Clustering?
This edition of Data Clustering has approximately 652 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Data Clustering?
For most readers, Data Clustering typically takes between 13h 35m and 9h 3m to complete. This is based on the book's length of approximately 163,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 10h 52m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 22 days • Estimated word count: 163,000 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Data Clustering?
The estimated word count for Data Clustering is approximately 163,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Data Clustering?
Data Clustering was written by Charu C. Aggarwal, Chandan K. Reddy.
When was Data Clustering published?
The publication date for this specific edition is 2018. The original work may have been published on a different date.