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TKDE
2008
197views more  TKDE 2008»
14 years 9 months ago
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters
In this paper, we present an agglomerative fuzzy K-Means clustering algorithm for numerical data, an extension to the standard fuzzy K-Means algorithm by introducing a penalty term...
Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Jo...
84
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STOC
2006
ACM
149views Algorithms» more  STOC 2006»
15 years 10 months ago
Bounded-error quantum state identification and exponential separations in communication complexity
We consider the problem of bounded-error quantum state identification: given either state 0 or state 1, we are required to output `0', `1' or `?' ("don't ...
Dmitry Gavinsky, Julia Kempe, Oded Regev, Ronald d...
STOC
2004
ACM
152views Algorithms» more  STOC 2004»
15 years 10 months ago
Exponential separation of quantum and classical one-way communication complexity
Abstract. We give the first exponential separation between quantum and bounded-error randomized one-way communication complexity. Specifically, we define the Hidden Matching Proble...
Ziv Bar-Yossef, T. S. Jayram, Iordanis Kerenidis
ICAI
2004
14 years 11 months ago
K-medoid-style Clustering Algorithms for Supervised Summary Generation
This paper centers on the discussion of k-medoid-style clustering algorithms for supervised summary generation. This task requires clustering techniques that identify class-unifor...
Nidal M. Zeidat, Christoph F. Eick
PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
15 years 3 months ago
A Fast Algorithm for Finding Correlation Clusters in Noise Data
Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clusterin...
Jiuyong Li, Xiaodi Huang, Clinton Selke, Jianming ...