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» A Generalization of Proximity Functions for K-Means
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CORR
2011
Springer
154views Education» more  CORR 2011»
12 years 8 months ago
A Fuzzy View on k-Means Based Signal Quantization with Application in Iris Segmentation
— This paper shows that the k-means quantization of a signal can be interpreted both as a crisp indicator function and as a fuzzy membership assignment describing fuzzy clusters ...
Nicolaie Popescu-Bodorin
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
13 years 11 months ago
A Generalization of Proximity Functions for K-Means
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
Junjie Wu, Hui Xiong, Jian Chen, Wenjun Zhou
PR
2008
173views more  PR 2008»
13 years 4 months ago
Object recognition using a generalized robust invariant feature and Gestalt's law of proximity and similarity
In this paper, we propose a new context-based method for object recognition. We first introduce a neuro-physiologically motivated visual part detector. We found that the optimal f...
Sungho Kim, Kuk-Jin Yoon, In-So Kweon
CSB
2005
IEEE
118views Bioinformatics» more  CSB 2005»
13 years 10 months ago
Gene Teams with Relaxed Proximity Constraint
Functionally related genes co-evolve, probably due to the strong selection pressure in evolution. Thus we expect that they are present in multiple genomes. Physical proximity amon...
Sun Kim, Jeong-Hyeon Choi, Jiong Yang
COMPGEOM
2009
ACM
13 years 11 months ago
Proximity of persistence modules and their diagrams
Topological persistence has proven to be a key concept for the study of real-valued functions defined over topological spaces. Its validity relies on the fundamental property tha...
Frédéric Chazal, David Cohen-Steiner...