WebKeywords: Boolean factor analysis Interpretation of results Simple structure. 1 Introduction Boolean matrix factorization (BMF) is a natural and immensely popular way of summarizing binary (yes/no) data via new fundamental variables, called factors, that are implicitly hidden in the data. In the past, the BMF was successfully used WebThe objective of this paper is to introduce a neural-network-based algorithm for word clustering as an extension of the neural-network-based Boolean factor analysis …

Maximal Ordinal Two-Factorizations

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Simple Structure in Boolean Matrix Factorization - CEUR …

WebNov 25, 2015 · Long before the interest in Boolean data in data mining, it has been recognized that the nature of Boolean data (also called binary data, presence-absence … WebApr 23, 2014 · Two Expectation-Maximization algorithms for Boolean Factor Analysis 1. Introduction. Factor analysis in general is one of the most efficient methods to reveal … WebJun 4, 2013 · A Boolean function F Y determines the value of y based on the values of its inputs. For the figure-8 network, F B i and F C j are single-input Boolean “copy” functions, while F A is a two-input NIF function: F A (B n, C m) = 1 if and only if B n = 1 and C m = 0. For a link from input X to output Y, we refer to nodes X as the “source ... blizzard launcher download speed slow