KNN 和 KBWC-KNN 在 Clean Data 和 Noisy Data的性能

Fig .1 KNN 和 KBWC-KNN 在 Clean Data 和 Noisy Data的性能 (50 维数)

也正如 论文提到的那样:

KBWC-KNN 比 KNN 具有 capability of toleration of noisty training data.

自己设计的RSRNG(Robust Supervised Neural Gas) is supposed to make better performance than KBWC-KNN in both clean training data and noisy training data circumstances.

references:

(1) [06'] Intrusion Detection using Text Processing Techniques with a Binary-Weighted Cosine Metric

(2) [02'] Using Text Categorization Techniques for Intrusion Detection

(3) [07'] Intrusion detection using text processing techniques with a kernel based similarity measure.pdf