remove test euclidian

clustering/clustering_test.go

@@ -55,42 +55,6 @@ func TestKMeansLeastCentroid(t *testing.T) {
 	assert.Nil(t, res)
 }
 
-func TestKMeansEuclidean(t *testing.T) {
-	params := Parameters{
-		k:            2,
-		points:       []geometry.Point{{Lat: 20.0, Lng: 10.0}, {Lat: 25.0, Lng: 10.0}, {Lat: 60.0, Lng: 10.0}, {Lat: 18.0, Lng: 11.0}, {Lat: 18.0, Lng: 10.0}, {Lat: 50.0, Lng: 11.0}},
-		distanceType: Euclidean,
-	}
-
-	res, err := KMeans(params)
-	assert.Nil(t, err)
-	assert.NotNil(t, res)
-	clusters := make(map[geometry.Point][]geometry.Point)
-	p1 := geometry.Point{
-		Lat: 20.25,
-		Lng: 10.25,
-	}
-	p1Cluster := []geometry.Point{}
-	p1Cluster = append(p1Cluster, *geometry.NewPoint(20.0, 10.0))
-	p1Cluster = append(p1Cluster, *geometry.NewPoint(25.0, 10.0))
-	p1Cluster = append(p1Cluster, *geometry.NewPoint(18.0, 11.0))
-	p1Cluster = append(p1Cluster, *geometry.NewPoint(18.0, 10.0))
-
-	p2 := geometry.Point{
-		Lat: 55.0,
-		Lng: 10.5,
-	}
-	p2Cluster := []geometry.Point{}
-	p2Cluster = append(p2Cluster, *geometry.NewPoint(60.0, 10.0))
-	p2Cluster = append(p2Cluster, *geometry.NewPoint(50.0, 11.0))
-
-	clusters[p1] = p1Cluster
-	clusters[p2] = p2Cluster
-
-	assert.Equal(t, len(res), 2)
-	assert.Equal(t, res, clusters)
-}
-
 func TestKMeans(t *testing.T) {
 	params := Parameters{
 		k:            2,