Research on Auto-Fluorescence Spectrogram for Colorectal Carcinoma with Data Mining
Zhifang Liao, Xiaoping Fan, Zhining Liao, Zhihua Qu · 2007
Data classification is an important data mining role in biomedicine. This paper proposes a method to analyze colorectal carcinoma auto-fluorescence spectrogram data based on counting KNN algorithm after analyzing the characteristics of biomedicine data. Though counting KNN algorithm for classification is simple and effective, it doesn't deal with biomedicine data well. After analyzing the algorithm performance, a novel counting KNN algorithm by index tree is presented. Experiments show that this method outperforms the distance-based voting kNN, and C-kNN. More importantly it is a method that works for ordinal, nominal or mixed data.