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» Random Projections for $k$-means Clustering
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CORR
2010
Springer
92views Education» more  CORR 2010»
13 years 4 months ago
Random Projections for $k$-means Clustering
This paper discusses the topic of dimensionality reduction for k-means clustering. We prove that any set of n points in d dimensions (rows in a matrix A ∈ Rn×d ) can be project...
Christos Boutsidis, Anastasios Zouzias, Petros Dri...
SDM
2007
SIAM
98views Data Mining» more  SDM 2007»
13 years 7 months ago
An incremental data-stream sketch using sparse random projections
We propose the use of random projections with a sparse matrix to maintain a sketch of a collection of high-dimensional data-streams that are updated asynchronously. This sketch al...
Aditya Krishna Menon, Gia Vinh Anh Pham, Sanjay Ch...
PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
14 years 5 days 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 ...
GFKL
2007
Springer
123views Data Mining» more  GFKL 2007»
14 years 6 days ago
Projecting Dialect Distances to Geography: Bootstrap Clustering vs. Noisy Clustering
Abstract. Dialectometry produces aggregate distance matrices in which a distance is specified for each pair of sites. By projecting groups obtained by clustering onto geography on...
John Nerbonne, Peter Kleiweg, Wilbert Heeringa, Fr...
ICDAR
2009
IEEE
13 years 3 months ago
A Robust Wavelet Transform Based Technique for Video Text Detection
In this paper, we propose a new method based on wavelet transform, statistical features and central moments for both graphics and scene text detection in video images. The method ...
Palaiahnakote Shivakumara, Trung Quy Phan, Chew Li...