Dec 1, 2012 · Centroid-based classification is a machine learning approach used in the text classification domain. The main advantage of centroid-based ...

Dec 1, 2012 · The high run-time performance of centroid-based classification is quite useful for on-line tasks like language identification. Han and Karypis ( ...

A new hybrid algorithm is proposed that uses PCA & kNN but performs kNN with a small set of neighbors instead of the complete data vectors in the projected ...

We propose a novel method named as inverse class frequency to increase the quality of the centroid values, which involves an update of the classical values. We ...

A high performance centroid-based classification approach for language identification. Pattern Recognition Letters, 33(16):2077-2084, 2012. [doi]. Abstract ...

One of techniques applied in this area is called centroid-based document classification method. All researchers on text categorization use the notion of ...

In this study, letter frequencies (LF) have been used for text categorization and by making use of letter frequencies information, the centroid-based ...

Oct 26, 2020 · Bibliographic details on A high performance centroid-based classification approach for language identification.

To improve the training and classification performances and the discriminative power of centroid a new method named, Inverse Class Frequency (ICF) was proposed.

Chuan Liu and his colleagues tried to find a text categorization method that works well with the skewed data in their paper called ”A New Centroid. Based ...