1 citations · 1 across the 4 of their papers we have counts for
4 papers · 1 filter
Cumulant-based approximation for fast and efficient prediction for species distribution
Osamu Komori, Yusuke Saigusa, Shinto Eguchi +1
Species distribution modeling plays an important role in estimating the habitat suitability of species using environmental variables. For this purpose, Maxent and the Poisson point…
Robust minimum divergence estimation in a spatial Poisson point process
Yusuke Saigusa, Shinto Eguchi, Osamu Komori
Species distribution modeling (SDM) plays a crucial role in investigating habitat suitability and addressing various ecological issues. While likelihood analysis is commonly used t…
Spontaneous Clustering via Minimum γ-divergence
Akifumi Notsu, Osamu Komori, Shinto Eguchi
We propose a new method for clustering based on the local minimization of the γ-divergence, which we call the spontaneous clustering. The greatest advantage of the proposed method…
Robust Independent Component Analysis via Minimum Divergence Estimation
Peng-Wen Chen, Hung Hung, Osamu Komori +2
Independent component analysis (ICA) has been shown to be useful in many applications. However, most ICA methods are sensitive to data contamination and outliers. In this article w…