J
James B. MacQueen
Researcher at University of California, Los Angeles
Publications - 17
Citations - 26115
James B. MacQueen is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Monotone polygon & Population. The author has an hindex of 9, co-authored 17 publications receiving 24224 citations. Previous affiliations of James B. MacQueen include Saint Petersburg State University.
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Some methods for classification and analysis of multivariate observations
TL;DR: The k-means algorithm as mentioned in this paper partitions an N-dimensional population into k sets on the basis of a sample, which is a generalization of the ordinary sample mean, and it is shown to give partitions which are reasonably efficient in the sense of within-class variance.
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Ferguson Distributions Via Polya Urn Schemes
TL;DR: In this article, it was shown that a random probability measure P* on X has a Ferguson distribution with parameter p if for every finite partition (B1, *. *, B) of X, the vector p*(B,), * * *, p *(B) has a Dirichlet distribution with parameters (Bj), *--, cp(B,) (when p(B), = 0, this means p*) = 0 with probability 1).
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A modified dynamic programming method for markovian decision problems
TL;DR: In this article, a modified dynamic programming method for the problem of choosing the action at the beginning of each period which will maximize future total discounted income is described, and the convergence appears to be quite rapid.
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Statistics, probability, and game theory : papers in honor of David Blackwell
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Optimal Policies for a Class of Search and Evaluation Problems
TL;DR: In this article, the problem of maximizing expected net value of an action, i.e., the expected value of the action finally taken minus the expected total cost of searching and testing, is studied.