k Means Clustering

Advances in K-means Clustering: A Data Mining Thinking  eBooks & eLearning

Posted by ChrisRedfield at May 13, 2015
Advances in K-means Clustering: A Data Mining Thinking

Junjie Wu - Advances in K-means Clustering: A Data Mining Thinking
Published: 2012-07-10 | ISBN: 3642298060, 3642447570 | PDF | 180 pages | 3.1 MB

Implementasi Fuzzy C-Means Clustering Dengan Java dan Oracle Second Edition  eBooks & eLearning

Posted by AlenMiler at Sept. 16, 2016
Implementasi Fuzzy C-Means Clustering Dengan Java dan Oracle Second Edition

Implementasi Fuzzy C-Means Clustering Dengan Java dan Oracle Second Edition by eko heryanto
English | 15 Sept. 2016 | ASIN: B01M0GNMKH | 122 Pages | AZW3/MOBI/EPUB/PDF (conv) | 20 MB

This book is the completeness of first edition, with full source code added.

Apache Mahout Clustering Designs  eBooks & eLearning

Posted by AlenMiler at Oct. 18, 2015
Apache Mahout Clustering Designs

Apache Mahout Clustering Designs by Ashish Gupta
English | 8 Oct. 2015 | ISBN: 1783284439 | 130 Pages | True AZW3 (Kindle)/(EPUB/PDF conv) | 14.47 MB

This book is for developers who want to try out clustering on large datasets using Mahout. It will also be useful for those users who don't have background in Mahout, but have knowledge of basic programming and are familiar with basics of machine learning and clustering.
Algorithms for Fuzzy Clustering: Methods in c-Means Clustering with Applications (Repost)

Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda, "Algorithms for Fuzzy Clustering: Methods in c-Means Clustering with Applications"
2008 | pages: 260 | ISBN: 3540787364 | PDF | 4,9 mb
Algorithms for Fuzzy Clustering: Methods in c-Means Clustering with Applications (repost)

Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda, "Algorithms for Fuzzy Clustering: Methods in c-Means Clustering with Applications"
Sp..er | 2008 | ISBN: 3540787364 | 248 pages | PDF | 4,9 MB
Algorithms for Fuzzy Clustering: Methods in c-Means Clustering with Applications (Repost)

Algorithms for Fuzzy Clustering: Methods in c-Means Clustering with Applications
Publisher: Springer | ISBN: 3540787364 | edition 2008 | PDF | 248 pages | 3,5 mb

The main subject of this book is the fuzzy c-means proposed by Dunn and Bezdek and their variations including recent studies. A main reason why we concentrate on fuzzy c-means is that most methodology and application studies in fuzzy clustering use fuzzy c-means, and hence fuzzy c-means should be considered to be a major technique of clustering in general, regardless whether one is interested in fuzzy methods or not. Unlike most studies in fuzzy c-means, what we emphasize in this book is a family of algorithms using entropy or entropy-regularized methods which are less known, but we consider the entropy-based method to be another useful method of fuzzy c-means.

Introduction to Computer Science and Programming using Python (Repost)  eBooks & eLearning

Posted by Polik88 at Sept. 27, 2014
Introduction to Computer Science and Programming using Python (Repost)

Introduction to Computer Science and Programming using Python (Repost)
English | MP4 | 640x480 | AVC 768 Kbps 29.970 fps | AAC 80 Kbps 44.1 khz | 32h 34mn | 7.8 GB
Sample Files: present
Genre: Video Training

This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python programming language.

Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning  eBooks & eLearning

Posted by andr1078 at May 17, 2017
Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning

Mr. Alboukadel Kassambara "Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning "
Publisher: CreateSpace Independent Publishing Platform | English | 2017 | ISBN: 1542462703 | 188 pages | PDF | 5 MB

This book provides practical guide to cluster analysis, elegant visualization and interpretation.

Stanford University - Introduction to Artificial Intelligence [repost]  eBooks & eLearning

Posted by ParRus at Nov. 5, 2016
Stanford University - Introduction to Artificial Intelligence [repost]

Stanford University - Introduction to Artificial Intelligence
WEBRip | English | MP4 + PDF Guide | 640 x 360 | AVC ~250 kbps | 30 fps
AAC | 123 Kbps | 44.1 KHz | 2 channels | ~24 hours | 4.42 GB
Genre: eLearning Video / Science, Cybernetics, Probability

Online Introduction to Artificial Intelligence is based on Stanford CS221, Introduction to Artificial Intelligence. This class introduces students to the basics of Artificial Intelligence, which includes machine learning, probabilistic reasoning, robotics, and natural language processing. The objective of this class is to teach you modern AI. You learn about the basic techniques and tricks of the trade, at the same level we teach our Stanford students. We also aspire to excite you about the field of AI. Whether you are a seasoned professional, a college student, or a curious high school student - everyone can participate.

Unsupervised Machine Learning in Python  eBooks & eLearning

Posted by arundhati at July 7, 2016
Unsupervised Machine Learning in Python

LazyProgrammer, "Unsupervised Machine Learning in Python: Master Data Science and Machine Learning with Cluster Analysis, Gaussian Mixture Models, and Principal Components Analysis"
2016 | ASIN: B01G1HH5T4 | 56 pages | EPUB | 1 MB