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MM
2004
ACM
99views Multimedia» more  MM 2004»
14 years 2 months ago
Locality preserving clustering for image database
It is important and challenging to make the growing image repositories easy to search and browse. Image clustering is a technique that helps in several ways, including image data ...
Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma, Xuey...
BIRTHDAY
2010
Springer
14 years 5 days ago
Clustering the Normalized Compression Distance for Influenza Virus Data
The present paper analyzes the usefulness of the normalized compression distance for the problem to cluster the hemagglutinin (HA) sequences of influenza virus data for the HA gene...
Kimihito Ito, Thomas Zeugmann, Yu Zhu
IJIT
2004
13 years 10 months ago
On the Noise Distance in Robust Fuzzy C-Means
In the last decades, a number of robust fuzzy clustering algorithms have been proposed to partition data sets affected by noise and outliers. Robust fuzzy C-means (robust-FCM) is c...
Mario G. C. A. Cimino, Graziano Frosini, Beatrice ...
IASSE
2004
13 years 10 months ago
A Model for Multi-relational Data Mining on Demand Forecasting
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
Qin Ding, Bhavin Parikh
IIS
2004
13 years 10 months ago
Lingo: Search Results Clustering Algorithm Based on Singular Value Decomposition
Search results clustering problem is defined as an automatic, on-line grouping of similar documents in a search results list returned from a search engine. In this paper we present...
Stanislaw Osinski, Jerzy Stefanowski, Dawid Weiss