#import"KRKmeans.h"

"KRKmeansKernelCosine" is Cosine Similarity. "KRKmeansKernelEuclidean" is Euclidean. "KRKmeansKernelRBF" is Radial Basis Function.

// 1. Random choosing the centers of groups from patterns. [kmeans randomChooseCenters:3]; // 2. Quickly customizing the groups and centers [kmeans addGroupForCenterFeatures:@[@2, @2] centerId:@"Center_1"groupId:@"Group_1"]; [kmeans addGroupForCenterFeatures:@[@6, @5] centerId:@"Center_2"groupId:@"Group_2"]; [kmeans addGroupForCenterFeatures:@[@3, @17] centerId:@"Center_3"groupId:@"Group_3"];

-(void)oneDemensionalClustering{//One dimensional K-Means, the data set is any number means. KRKmeansOne *kmeansOne = [KRKmeansOne sharedKmeans]; kmeansOne.sources = @[@0.33, @0.88, @1, @0.52, @146, @120, @45, @43, @0.4]; //If you wanna customize the median value//kmeansOne.customMedian = 45.0f; [kmeansOne clusteringWithCompletion:^(BOOL success, float knowledgeLine, NSArray *maxClusters, NSArray *minClusters, NSArray *midClusters, NSDictionary *overlappings){NSLog(@"knowledgeLine : %f", knowledgeLine); NSLog(@"maxClusters : %@", maxClusters); NSLog(@"minClusters : %@", minClusters); NSLog(@"midClusters : %@", midClusters); NSLog(@"overlappings : %@", overlappings); //[_krKmeansOne printResults]; }]} 

-(void)multiClustering{KRKmeans *kmeans = [KRKmeans sharedKmeans]; kmeans.modelKey = @"MyKmeans1"; kmeans.saveAfterDone = YES; kmeans.maxIteration = 10; // Adding patternsNSArray *patterns = @[@[@5, @4], @[@3, @4], @[@2, @5], @[@9, @8], @[@3, @20], @[@1, @1], @[@1, @2], @[@2, @2], @[@3, @2], @[@3, @1], @[@6, @4], @[@7, @6], @[@5, @6], @[@6, @5], @[@7, @8], @[@3, @12], @[@5, @20]]; NSInteger index = -1; for( NSArray *features in patterns ){index += 1; NSString *patternId = [NSStringstringWithFormat:@"Training_%li", index]; KRKmeansPattern *pattern = [kmeans createPatternWithFeatures:features patternId:patternId]; [kmeans addPattern:pattern]} [kmeans randomChooseCenters:3]; [kmeans setupKernel:KRKmeansKernelEuclidean]; [kmeans clusteringWithCompletion:^(BOOL success, KRKmeans *kmeansObject, NSInteger totalTimes){NSLog(@"totalTimes : %li", totalTimes); NSLog(@"featuresOfCenters : %@", kmeansObject.featuresOfCenters); NSLog(@"centers objects: %@", kmeansObject.centers); NSLog(@"SSE : %lf", kmeansObject.sse)} perIteration:^(NSInteger times, KRKmeans *kmeansObject, BOOL *pause){NSLog(@"times : %li", times); // If you want to direct pause that next iteration running, then you could set ://*pause = YES; }]}

// Recovering the tranined groups to predicate patterns. -(void)predicatingByTrainedModel{KRKmeans *kmeans = [KRKmeans sharedKmeans]; [kmeans recoverGroupsForKey:@"MyKmeans1"]; NSMutableArray *samples = [NSMutableArraynew]; NSArray *patterns = @[@[@21, @12], @[@13, @21], @[@12, @5], @[@3, @8]]; NSInteger index = -1; for( NSArray *features in patterns ){index += 1; NSString *patternId = [NSStringstringWithFormat:@"Predication_%li", index]; KRKmeansPattern *pattern = [kmeans createPatternWithFeatures:features patternId:patternId]; [samples addObject:pattern]} [kmeans predicatePatterns:samples completion:^(BOOL success, KRKmeans *kmeansObject, NSInteger totalTimes){NSLog(@"\n\n====================== Predication ===========================\n\n"); [kmeansObject printResults]}]}