### Table 3. Experimental results for instance cloning local naive Bayes (ICLNB) versus instance-based k-nearest neighbor (KNN), instance-based k-nearest neighbor with dis- tance weighted (KNNDW), instance-based k-nearest neighbor naive Bayes (KNNNB), locally weighted naive Bayes (LWNB) and naive Bayes (NB): percentage of correct classification and standard deviation when k = 10.

### Table 7: (U)Effectiveness of sparse Bayesian models compared with that of standard text categorization approaches. The results for SVM (support vector machine), kNN (k-nearest neighbor), and Rocchio classifiers are as reported by Lewis, et al (2003). They use a different text representation than our experiments and so the comparison is not purely of learning algorithms. F1 values are averages over 101 Topics categories on the RCV1-v2 collection.

2003

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### Table 3 Mean query time (in ms.) for k-nearest neighbor search k

"... In PAGE 22: ...xtent e = 0.005 were used. However, instead of searching for only the single nearest neighbor, we searched for the k-nearest neighbors of each query point. Table3 illustrates the mean query time for the k-nearest neighbor search, k = 2, 4, .... ..."

### Table 1. The number of k-nearest neighbor blocks assigned to the same disk

1997

"... In PAGE 5: ... We counted the number of k-nearest-neighbor data blocks assigned to the same disk unit, varying k from 1 to 59 since the total of 55,602 data blocks were distributed over 60 disks. The results are summarized in Table1 . The closer a pair of blocks are to each other, the higher the chance that they are accessed together.... ..."

Cited by 87

### Table 8.1. Classification results with different techniques: SVM (support vector machine), k-NN (k-nearest neighbour), PNN (probabilistic neural network) Classifier Correct classification rate Time for set-up Time for classification

1995

Cited by 1

### Table 5: Accuracy of DeEPs in comparison to those of k-nearest neighbor and C5.0.

2001

"... In PAGE 16: ...Release 1.12], a commercial version of C4.5 (Quinlan, 1993). The experimental results are summarized in Table 5. The data sets are listed in Column 1 of Table5 , and their properties in Column 2. Columns 3 and 4 show the CV-10 average accuracy of DeEPs, when the neighborhood factor is xed as 0.... ..."

Cited by 4

### Table 1. Accuracy of k-Nearest Neighbor using complete training set.

### Table 3. Accuracy of k-Nearest Neighbor on the USPS dataset using a reduced training set

### Table 4.2: Databases referential accuracy results Database k-Nearest Neighbor Multilayer Perceptron Reference

2006