Title

A New Data Processing Approach Research To Auto-Fluorescence Spectrogram For Colorectal Carcinoma

Keywords

ckNN; Colorectal carcinoma auto-fluorescence spectrogram data; Index-tree structure

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. The new method improves the efficiency by using a tree structure index with the same accuracy. Experiments show that this method outperforms the distance-based voting kNN for accuracy, and ckNN for efficiency.

Publication Date

12-1-2007

Publication Title

Proceedings of the 26th Chinese Control Conference, CCC 2007

Number of Pages

628-632

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/CHICC.2006.4347584

Socpus ID

37749024309 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/37749024309

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