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Rating: 
Summary: Excellent primer on Cluster Analysis
Review: I have become a big fan of this little green book series. I belong to a very quantitatively oriented in-house think tank of a major West Coast financial service institution. As a very regular MBA, I often wonder what I am doing in such a group. These little green books have bailed me out several times and provided me the understanding on various esoteric advanced statistical methods. Thanks to these books I taught myself Logistic Regression, and Discriminant Analysis. About two weeks ago, one of our best Russian mathematicians left our group. He had developed an expertise in Cluster Analysis. My boss assigned me to become his successor as a Cluster Analyst so to speak. If it were not for the green book series, I would have been in a state of panic. I quickly ordered the Cluster Analysis book. Studied it. And, now I am on my way to becoming a descent Cluster Analyst. There are many eccentric features to Cluster Analysis. First, it is much less well grounded in mathematics and statistics than many other data analysis methods. For one thing, it was invented by biologists at first and further developed by many soft scientists of all kinds. The authors reflect this strange background of Cluster Analysis. One of them is a professor in anthropology, and the other a professor in clinical psychology. Somehow, these soft-scientists have a much greater need to classify their data (this is especially true of biologists) than pure mathematicians do. Second, there are tons of different ways to conduct Cluster Analysis. All have their benefits, and some have specific flaws. The authors do an excellent job at explaining and differentiating these different methods. As usual [of the green book series], the book is very well written, and makes this complex methodology easily accessible. It is an excellent book to teach you Cluster Analysis. I strongly recommend it. Cluster Analysis is a good thing to know. These days it is popping out everywhere. How do political campaign managers customize their political message through direct mail to specific voting groups? Cluster Analysis. Whether you are aware or not, we are all part of data clusters. How do college recruiters decide on which applicant to spend much recruiting energy? Cluster Analysis. Cluster Analysis is the answer to numerous unexpected questions.
Rating:
Summary: Excellent primer on Cluster Analysis
Review: I have become a big fan of this little green book series. I belong to a very quantitatively oriented in-house think tank of a major West Coast financial service institution. As a very regular MBA, I often wonder what I am doing in such a group. These little green books have bailed me out several times and provided me the understanding on various esoteric advanced statistical methods. Thanks to these books I taught myself Logistic Regression, and Discriminant Analysis. About two weeks ago, one of our best Russian mathematicians left our group. He had developed an expertise in Cluster Analysis. My boss assigned me to become his successor as a Cluster Analyst so to speak. If it were not for the green book series, I would have been in a state of panic. I quickly ordered the Cluster Analysis book. Studied it. And, now I am on my way to becoming a descent Cluster Analyst. There are many eccentric features to Cluster Analysis. First, it is much less well grounded in mathematics and statistics than many other data analysis methods. For one thing, it was invented by biologists at first and further developed by many soft scientists of all kinds. The authors reflect this strange background of Cluster Analysis. One of them is a professor in anthropology, and the other a professor in clinical psychology. Somehow, these soft-scientists have a much greater need to classify their data (this is especially true of biologists) than pure mathematicians do. Second, there are tons of different ways to conduct Cluster Analysis. All have their benefits, and some have specific flaws. The authors do an excellent job at explaining and differentiating these different methods. As usual [of the green book series], the book is very well written, and makes this complex methodology easily accessible. It is an excellent book to teach you Cluster Analysis. I strongly recommend it. Cluster Analysis is a good thing to know. These days it is popping out everywhere. How do political campaign managers customize their political message through direct mail to specific voting groups? Cluster Analysis. Whether you are aware or not, we are all part of data clusters. How do college recruiters decide on which applicant to spend much recruiting energy? Cluster Analysis. Cluster Analysis is the answer to numerous unexpected questions.
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