Introduction To Linux High Availability Clustering

Introduction To Linux High Availability Clustering
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | Lec: 32 | 353 MB
Genre: eLearning | Language: English

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Metaheuristic Clustering

Swagatam Das, Ajith Abraham, Amit Konar, "Metaheuristic Clustering"
2009 | pages: 265 | ISBN: 3540921729 | PDF | 4,6 mb
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Classifying and Clustering Data with R
Classifying and Clustering Data with R
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 595 MB
Genre: eLearning | Language: English

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Learn Data Mining - Clustering Segmentation Using R,Tableau

Learn Data Mining - Clustering Segmentation Using R,Tableau
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 6 Hours | Lec: 37 | 793 MB
Genre: eLearning | Language: English

Learn Data Mining - Clustering Segmentation Using R,Tableau
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Pro Linux High Availability Clustering

Pro Linux High Availability Clustering By Sander Van Vugt
2014 | 154 Pages | ISBN: 1484200802 | PDF | 3 MB
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Multicriteria and Clustering: Classification Techniques in Agrifood and Environment

Zacharoula Andreopoulou, "Multicriteria and Clustering: Classification Techniques in Agrifood and Environment"
English | ISBN: 3319555642 | 2017 | 80 pages | PDF | 1 MB
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Graph-Based Clustering and Data Visualization Algorithms

Graph-Based Clustering and Data Visualization Algorithms (Springer Briefs in Computer Science) by Agnes Vathy-Fogarassy
English | 28 May 2013 | ISBN: 1447151577 | 124 Pages | PDF (True) | 3.57 MB
This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional vector space.
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Statistical Methods for Disease Clustering (Statistics for Biology and Health) by Toshiro Tango

Statistical Methods for Disease Clustering (Statistics for Biology and Health) by Toshiro Tango
English | Feb. 1, 2010 | ISBN: 1441915710 | 249 Pages | PDF | 10 MB

This book is intended to provide a text on statistical methods for detecting clus ters and/or clustering of health events that is of interest to ?nal year undergraduate and graduate level statistics, biostatistics, epidemiology, and geography students but will also be of relevance to public health practitioners
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