Title

Research On Auto-Fluorescence Spectrogram For Colorectal Carcinoma With Data Mining

Keywords

Colorectal carcinoma auto-fluorescence spectrogram data; Index-tree; KNN by counting

Abstract

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. © 2007 IEEE.

Publication Date

10-23-2007

Publication Title

2007 1st International Conference on Bioinformatics and Biomedical Engineering, ICBBE

Number of Pages

1307-1310

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICBBE.2007.337

Socpus ID

35348917570 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/35348917570

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