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Pattern Classification and Scene Analysis.
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This article is published in Journal of the American Statistical Association.The article was published on 1974-09-01. It has received 14948 citations till now.read more
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Supervised learning from incomplete data via an EM approach
TL;DR: A framework based on maximum likelihood density estimation for learning from high-dimensional data sets with arbitrary patterns of missing data is presented and results from a classification benchmark--the iris data set--are presented.
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Cluster center initialization algorithm for K -means clustering
Shehroz S. Khan,Amir Ahmad +1 more
TL;DR: An algorithm to compute initial cluster centers for K-means clustering based on two observations that some of the patterns are very similar to each other and that is why they have same cluster membership irrespective to the choice of initial cluster center.
Journal ArticleDOI
Drug design by machine learning: support vector machines for pharmaceutical data analysis.
TL;DR: It is shown that the support vector machine (SVM) classification algorithm, a recent development from the machine learning community, proves its potential for structure-activity relationship analysis in a benchmark test, compared to several machine learning techniques currently used in the field.
Journal ArticleDOI
Why so many clustering algorithms: a position paper
TL;DR: It is argued that there are many clustering algorithms, because the notion of "cluster" cannot be precisely defined, and comparisons must take into account a careful understanding of the inductive principles involved.
Journal ArticleDOI
Methodology review: Clustering methods
TL;DR: A review of clustering methodology is presented, with emphasis on algorithm performance and the re sulting implications for applied research, and two sets of recommendations are offered.